{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Acyclic boolean models of cell signaling (experimental)\n", "\n", "This guide shows the basics of modeling intracellular signaling using acyclic boolean models for multi-perturbation experiments. For this, we will use an extension of the CellNopt ILP method implemented with CORNETO.\n", "\n", "- Author: Attila Gabor (Heidelberg University, SaezLab)\n", "- Reviewers: Pablo Rodriguez Mier (Heidelberg University, SaezLab)\n", "\n", "> NOTE: This notebook is still experimental." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", " \n", " \n", "
Installed version:v1.0.0.dev3 (latest stable: v1.0.0-alpha)
Available backends:CVXPY v1.6.0, PICOS v2.5.1
Default backend (corneto.opt):CVXPY
Installed solvers:CLARABEL, CVXOPT, GLPK, GLPK_MI, GUROBI, HIGHS, SCIP, SCIPY
Graphviz version:v0.20.3
Installed path:/Users/pablorodriguezmier/Documents/work/projects/corneto/corneto
Repository:https://github.com/saezlab/corneto
\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import corneto as cn\n", "import corneto.methods.signal.cellnopt_ilp as cno\n", "\n", "cn.info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction to a Boolean model\n", "\n", "As a first step we define start with a small network and corresponding datasets just to illustrate the concepts. \n", "The prior knowledge network of 'G1' contains three nodes, EGF, TNFa and Ras. Edges show the potential activation of the RAS protein. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "AND1\n", "\n", "AND1\n", "\n", "\n", "\n", "EGF->AND1\n", "\n", "\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "AND1->Ras\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->AND1\n", "\n", "\n", "\n", "\n", "\n", "TNFa->Ras\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Definition of the prior knowledge network\n", "G1 = cn.Graph.from_sif_tuples(\n", " [\n", " (\"EGF\", 1, \"AND1\"),\n", " (\"TNFa\", 1, \"AND1\"),\n", " (\"AND1\", 1, \"Ras\"),\n", " (\"EGF\", 1, \"Ras\"),\n", " (\"TNFa\", 1, \"Ras\"),\n", " ]\n", ")\n", "G1.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we organize some in-silico experimental data into a format that can be used by the CNO toolbox.\n", "\n", "First, we define 4 conditions (exp0 ... exp3). In each condition, the activated nodes (EGF or TNFa) are set to 1 and the non-activated nodes to 0.\n", "We also define the values of the corresponding outputs (Ras).\n", "\n", "Note that the output, Ras is only active (1.0) in the 4th condition, when both of the inputs are also activated. This corresponds to an AND relationship: RAS is active only if both EGF and TNFa are activated.\n", "We expect that the optimization finds the correct subgraph of the above network, which contains only the 3 nodes with the AND gates, while individual edges from EGF and TNFa to RAS are removed. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# RAS is only active iff both EGF and TNFa are active -> we need to identify the AND gate\n", "exp_list_G1_and = {\n", " \"exp0\": {\"input\": {\"EGF\": 0, \"TNFa\": 0}, \"output\": {\"Ras\": 0}},\n", " \"exp1\": {\"input\": {\"EGF\": 1, \"TNFa\": 0}, \"output\": {\"Ras\": 0}},\n", " \"exp2\": {\"input\": {\"EGF\": 0, \"TNFa\": 1}, \"output\": {\"Ras\": 0}},\n", " \"exp3\": {\"input\": {\"EGF\": 1, \"TNFa\": 1}, \"output\": {\"Ras\": 1}},\n", "}" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "AND1\n", "\n", "AND1\n", "\n", "\n", "\n", "EGF->AND1\n", "\n", "\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "AND1->Ras\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->AND1\n", "\n", "\n", "\n", "\n", "\n", "TNFa->Ras\n", "\n", "\n", "\n", "\n", "\n", "e_5_target\n", "\n", "\n", "\n", "\n", "Ras->e_5_target\n", "\n", "\n", "\n", "\n", "\n", "e_6_source\n", "\n", "\n", "\n", "\n", "e_6_source->EGF\n", "\n", "\n", "\n", "\n", "\n", "e_7_source\n", "\n", "\n", "\n", "\n", "e_7_source->TNFa\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "G1_prep = cno.expand_graph_for_flows(G1, exp_list_G1_and)\n", "G1_prep.plot()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cno.plot_data(exp_list_G1_and)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Set parameter Username\n", "Set parameter LicenseID to value 2593994\n", "Academic license - for non-commercial use only - expires 2025-12-02\n" ] } ], "source": [ "P = cno.cellnoptILP(G1_prep, exp_list_G1_and, verbose=False)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqUAAAIYCAYAAABUjJWZAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/GU6VOAAAACXBIWXMAAA9hAAAPYQGoP6dpAABmc0lEQVR4nO3df3zN9f//8fvZtDNkC3vbMZafpbxtVmNrSpR9TMk7n37ROw3fqChvOpWsdyaphuStIiQ/5lsi77fU+63Ed2+jNJbfFEvCVpxh7BwmG2ev7x/ezruTYWe2vWa7XS+X1yWv5+v5ep7HS6fnefT68XhZDMMwBAAAAJjIz+wAAAAAAJJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFLiAefPmyWKxeJZatWqpSZMmGjBggH755RezwwMAn/x+TgsMDNT111+vp59+Wrm5ueX2Oe+++67mzZtXbuOh5qhldgBAVffKK6+oRYsWOnXqlNatW6d58+bp66+/1o4dOxQYGGh2eADgk9/OaV9//bWmT5+uzz//XDt27FCdOnUue/x3331XISEhGjBgwOUHixqFpBS4hLvuuksdOnSQJA0aNEghISGaMGGCPvvsMz300EMmRwcAvvn9nNawYUNNnjxZn376qR5++OEyj3vy5MlySWpRc3H5HvBR586dJUl79uyRJBUVFSk5OVnR0dEKDg5W3bp11blzZ61ateq8fRcuXKjo6GjVq1dPQUFBioiI0FtvvVWp8QPAb915552SpL1790qSPvjgA0VHR6t27dpq0KCB+vbtq5ycHK99unbtqnbt2mnjxo26/fbbVadOHb344otq3ry5vvvuO61evdpzm0DXrl0r+5BwheJMKeCjffv2SZLq168vSXK5XHr//ff18MMPa/DgwTp+/Lhmz56thIQEZWZmKioqSpK0cuVKPfzww+rWrZsmTJggSdq5c6fWrl2r4cOHm3EoAOD5H+yGDRvqtdde0+jRo/XQQw9p0KBBOnz4sN555x3dfvvt2rx5s6655hrPfnl5ebrrrrvUt29f9evXT6GhoeratauGDRumq6++Wn/9618lSaGhoWYcFq5AJKXAJTidTh05ckSnTp3S+vXrNXbsWFmtVt1zzz2Szian+/btU0BAgGefwYMH64YbbtA777yj2bNnS5KWLVumoKAgffnll/L39zflWADgt3Pa2rVr9corr6h27drq0aOHWrVqpVdffVUvvviip/99992nm266Se+++65Xu8Ph0IwZM/TEE094jf/SSy8pJCRE/fr1q7RjQvVAUgpcQnx8vNd68+bN9cEHH6hp06aSJH9/f0+SWVxcrPz8fBUXF6tDhw7atGmTZ79rrrlGBQUFWrlypXr06FF5BwAAv/H7Oa1Zs2b68MMPtWTJEhUXF+uhhx7SkSNHPNttNpuuu+46rVq1yisptVqtGjhwYKXFjeqPpBS4hGnTpun666+X0+nUnDlztGbNGlmtVq8+qampevPNN7Vr1y6dPn3a096iRQvPn4cOHaqPP/5Yd911l5o0aaLu3bvroYceIkEFUKnOzWm1atVSaGio2rRpIz8/P3366acyDEPXXXddiftdddVVXutNmjTxukIEXC6SUuASYmJiPE+q9u7dW7fddpv+/Oc/KysrS1dffbU++OADDRgwQL1799bzzz+vRo0ayd/fXykpKZ57tSSpUaNG2rJli7788kt98cUX+uKLLzR37lwlJiYqNTXVrMMDUMP8dk77reLiYlksFn3xxRcl3mJ09dVXe63Xrl27wmJEzURSCvjgXLJ5xx13aOrUqRo1apT+/ve/q2XLllqyZIksFoun75gxY87bPyAgQL169VKvXr1UXFysoUOHaubMmRo9erRat25dmYcCAF5atWolwzDUokULXX/99WUe57fzIOALSkIBPuratatiYmI0ZcoUnTp1ynNGwTAMT5/169crIyPDa7+8vDyvdT8/P0VGRkqSCgsLKzhqALi4++67T/7+/ho7dqzXfCadnd9+P4ddSN26dZWfn39e++nTp7Vr1y4dPHiwPMJFNcSZUqAMnn/+eT344IOaN2+e7rnnHi1ZskT/+7//q549e2rv3r2aMWOG2rZtqxMnTnj2GTRokI4ePao777xTTZs21f79+/XOO+8oKipKN954o4lHAwDyPHmflJSkffv2qXfv3qpXr5727t2rTz75RI8//riee+65S44THR2t6dOn69VXX1Xr1q3VqFEj3Xnnnfrll1904403qn///ryGFCUiKQXK4L777lOrVq00adIkZWVlyeFwaObMmfryyy/Vtm1bffDBB1q8eLHS09M9+/Tr10/vvfee3n33XeXn58tms6lPnz56+eWX5efHRQsA5hs1apSuv/56/e1vf9PYsWMlSeHh4erevbv+9Kc/lWqM5ORk7d+/XxMnTtTx48fVpUsXT4F+4GIsxu/P0QMAAACVjNMzAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMB0loUpQXFysAwcOqF69eryZAkCFMgxDx48fV1hYWKWVBmOOA1BZfJnjSEpLcODAAYWHh5sdBoAaJCcnR02bNq2Uz2KOA1DZSjPHkZSWoF69epLO/gUGBQWZHA2A6szlcik8PNwz71QG5jgAlcWXOY6ktATnLmcFBQUxYQOoFJV5GZ05DkBlK80cx4NOAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMB1JKQAAAExnalK6Zs0a9erVS2FhYbJYLFq6dOkl90lPT9fNN98sq9Wq1q1ba968eef1mTZtmpo3b67AwEDFxsYqMzOz/IMHAABAuTE1KS0oKFD79u01bdq0UvXfu3evevbsqTvuuENbtmzRiBEjNGjQIH355ZeePosWLZLdbteYMWO0adMmtW/fXgkJCTp06FBFHQYAAAAuk8UwDMPsIKSzRVU/+eQT9e7d+4J9XnjhBS1btkw7duzwtPXt21f5+flavny5JCk2NlYdO3bU1KlTJZ19x3N4eLiGDRumUaNGlSoWl8ul4OBgOZ1OCksDqFBmzDfMcQAqiy/zzRV1T2lGRobi4+O92hISEpSRkSFJKioq0saNG736+Pn5KT4+3tOnJIWFhXK5XF4LAAAAKs8V9ZpRh8Oh0NBQr7bQ0FC5XC79+uuvOnbsmNxud4l9du3adcFxU1JSNHbs2AqJGQCqi0p8EyoqWNW4Rgp4u6LOlFaUpKQkOZ1Oz5KTk2N2SAAAADXKFXWm1GazKTc316stNzdXQUFBql27tvz9/eXv719iH5vNdsFxrVarrFZrhcQMAACAS7uizpTGxcUpLS3Nq23lypWKi4uTJAUEBCg6OtqrT3FxsdLS0jx9AAAAUPWYmpSeOHFCW7Zs0ZYtWySdLfm0ZcsWZWdnSzp7WT0xMdHT/8knn9RPP/2kkSNHateuXXr33Xf18ccf65lnnvH0sdvtmjVrllJTU7Vz504NGTJEBQUFGjhwYKUeGwAAAErP1Mv3GzZs0B133OFZt9vtkqT+/ftr3rx5OnjwoCdBlaQWLVpo2bJleuaZZ/TWW2+padOmev/995WQkODp06dPHx0+fFjJyclyOByKiorS8uXLz3v4CQAAAFVHlalTWpVQww9AZbmS6pTy9H31wS8/Kku1rVMKAACA6omkFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABguiqRlE6bNk3NmzdXYGCgYmNjlZmZecG+Xbt2lcViOW/p2bOnp8+AAQPO296jR4/KOBQAAACUQS2zA1i0aJHsdrtmzJih2NhYTZkyRQkJCcrKylKjRo3O679kyRIVFRV51vPy8tS+fXs9+OCDXv169OihuXPnetatVmvFHQQAAAAui+lJ6eTJkzV48GANHDhQkjRjxgwtW7ZMc+bM0ahRo87r36BBA6/1hQsXqk6dOuclpVarVTabrVQxFBYWqrCw0LPucrl8PQwAAABcBlMv3xcVFWnjxo2Kj4/3tPn5+Sk+Pl4ZGRmlGmP27Nnq27ev6tat69Wenp6uRo0aqU2bNhoyZIjy8vIuOEZKSoqCg4M9S3h4eNkOCAAAAGVialJ65MgRud1uhYaGerWHhobK4XBccv/MzEzt2LFDgwYN8mrv0aOH5s+fr7S0NE2YMEGrV6/WXXfdJbfbXeI4SUlJcjqdniUnJ6fsBwUAAACfmX75/nLMnj1bERERiomJ8Wrv27ev588RERGKjIxUq1atlJ6erm7dup03jtVq5Z5TAAAAE5l6pjQkJET+/v7Kzc31as/Nzb3k/aAFBQVauHChHnvssUt+TsuWLRUSEqIff/zxsuIFAABAxTA1KQ0ICFB0dLTS0tI8bcXFxUpLS1NcXNxF9128eLEKCwvVr1+/S37Ozz//rLy8PDVu3PiyYwYAAED5M71Oqd1u16xZs5SamqqdO3dqyJAhKigo8DyNn5iYqKSkpPP2mz17tnr37q2GDRt6tZ84cULPP/+81q1bp3379iktLU333nuvWrdurYSEhEo5JgAAAPjG9HtK+/Tpo8OHDys5OVkOh0NRUVFavny55+Gn7Oxs+fl5585ZWVn6+uuvtWLFivPG8/f317Zt25Samqr8/HyFhYWpe/fuGjduHPeNAgAAVFEWwzAMs4Ooalwul4KDg+V0OhUUFGR2OACqMTPmm7J+psVSgUGhUvHLj8riy3xj+uV7AAAAoNyS0oKCAq1Zs6a8hgMAAEANUm5J6Y8//qg77rijvIYDAABADcLlewAAAJiu1E/fN2jQ4KLbL/QKTwAAAOBSSp2UFhYWasiQIYqIiChx+/79+zV27NhyCwwAAAA1R6mT0qioKIWHh6t///4lbt+6dStJKQAAAMqk1PeU9uzZU/n5+Rfc3qBBAyUmJpZHTAAAAKhhKJ5fAornA6gsFM+HGfjlR2WheD4AAACuKCSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMF25JaX9+/fXnXfeWV7DAQAAoAYp9RudLqVJkyby8+PEKwAAAHxXbknp66+/Xl5DAQAAoIa5rFObhmGIF0IBAADgcpUpKZ09e7batWunwMBABQYGql27dnr//ffLHMS0adPUvHlzBQYGKjY2VpmZmRfsO2/ePFksFq8lMDDQq49hGEpOTlbjxo1Vu3ZtxcfHa/fu3WWODwAAABXL56Q0OTlZw4cPV69evbR48WItXrxYvXr10jPPPKPk5GSfA1i0aJHsdrvGjBmjTZs2qX379kpISNChQ4cuuE9QUJAOHjzoWfbv3++1feLEiXr77bc1Y8YMrV+/XnXr1lVCQoJOnTrlc3wAAACoBIaPQkJCjAULFpzXvmDBAqNhw4a+DmfExMQYTz31lGfd7XYbYWFhRkpKSon9586dawQHB19wvOLiYsNmsxlvvPGGpy0/P9+wWq3GRx99VKqYnE6nIclwOp2lOwgAKCMz5puyfqbEUl0WoLL4Mt/4fKb09OnT6tChw3nt0dHROnPmjE9jFRUVaePGjYqPj/e0+fn5KT4+XhkZGRfc78SJE2rWrJnCw8N177336rvvvvNs27t3rxwOh9eYwcHBio2NveCYhYWFcrlcXgsAAAAqj89J6aOPPqrp06ef1/7ee+/pkUce8WmsI0eOyO12KzQ01Ks9NDRUDoejxH3atGmjOXPm6NNPP9UHH3yg4uJiderUST///LMkefbzZcyUlBQFBwd7lvDwcJ+OAwAAAJenTCWhZs+erRUrVuiWW26RJK1fv17Z2dlKTEyU3W739Js8eXL5RPkbcXFxiouL86x36tRJN954o2bOnKlx48aVacykpCSvuF0uF4kpAABAJfI5Kd2xY4duvvlmSdKePXskSSEhIQoJCdGOHTs8/SwWyyXHCgkJkb+/v3Jzc73ac3NzZbPZShXPVVddpZtuukk//vijJHn2y83NVePGjb3GjIqKKnEMq9Uqq9Vaqs8DAABA+fM5KV21alW5fXhAQICio6OVlpam3r17S5KKi4uVlpamp59+ulRjuN1ubd++XXfffbckqUWLFrLZbEpLS/MkoS6XS+vXr9eQIUPKLXYAAACUH5/vKT18+PAFt23fvt3nAOx2u2bNmqXU1FTt3LlTQ4YMUUFBgQYOHChJSkxMVFJSkqf/K6+8ohUrVuinn37Spk2b1K9fP+3fv1+DBg2SdPYM7YgRI/Tqq6/qs88+0/bt25WYmKiwsDBP4gsAAICqxeczpREREZo9e7Z69uzp1T5p0iSNHj1av/76q0/j9enTR4cPH1ZycrIcDoeioqK0fPlyz4NK2dnZ8vP7b+587NgxDR48WA6HQ/Xr11d0dLS++eYbtW3b1tNn5MiRKigo0OOPP678/HzddtttWr58+XlF9gEAAFA1WAzDt/eETpw4UcnJyRo4cKAmT56so0ePKjExUdu3b9fMmTP1v//7vxUVa6VxuVwKDg6W0+lUUFCQ2eEAqMbMmG/K+pmleFQAVwjeEI7K4st84/Pl+5EjRyojI0NfffWVIiMjFRkZKavVqm3btlWLhBQAAACVz+ekVJJat26tdu3aad++fXK5XOrTp0+pn5YHAAAAfs/npHTt2rWKjIzU7t27tW3bNk2fPl3Dhg1Tnz59dOzYsYqIEQAAANWcz0npnXfeqT59+mjdunW68cYbNWjQIG3evFnZ2dmKiIioiBgBAABQzfn89P2KFSvUpUsXr7ZWrVpp7dq1eu2118otMAAAANQcPp8p/X1C6hnIz0+jR4++7IAAAABQ85Q6Kb377rvldDo96+PHj1d+fr5nPS8vz6tWKAAAAFBapU5Kv/zySxUWFnrWX3/9dR09etSzfubMGWVlZZVvdAAAAKgRSp2U/r7Gvo819wEAAIALKlOdUgAAAKA8lToptVgssvzuHXO/XwcAAADKotQloQzD0IABA2S1WiVJp06d0pNPPqm6detKktf9pgAAAIAvSp2U9u/f32u9X79+5/VJTEy8/IgAAABQ45Q6KZ07d25FxgEAAIAajAedAAAAYDqSUgAAAJiOpBQAAACmIykFAACA6UhKAQAAYDqSUgAAAJiuSiSl06ZNU/PmzRUYGKjY2FhlZmZesO+sWbPUuXNn1a9fX/Xr11d8fPx5/QcMGOB5A9W5pUePHhV9GAAAACgj05PSRYsWyW63a8yYMdq0aZPat2+vhIQEHTp0qMT+6enpevjhh7Vq1SplZGQoPDxc3bt31y+//OLVr0ePHjp48KBn+eijjyrjcAAAAFAGpielkydP1uDBgzVw4EC1bdtWM2bMUJ06dTRnzpwS+3/44YcaOnSooqKidMMNN+j9999XcXGx0tLSvPpZrVbZbDbPUr9+/co4HAAAAJSBqUlpUVGRNm7cqPj4eE+bn5+f4uPjlZGRUaoxTp48qdOnT6tBgwZe7enp6WrUqJHatGmjIUOGKC8v74JjFBYWyuVyeS0AAACoPKYmpUeOHJHb7VZoaKhXe2hoqBwOR6nGeOGFFxQWFuaV2Pbo0UPz589XWlqaJkyYoNWrV+uuu+6S2+0ucYyUlBQFBwd7lvDw8LIfFAAAAHxWy+wALsf48eO1cOFCpaenKzAw0NPet29fz58jIiIUGRmpVq1aKT09Xd26dTtvnKSkJNntds+6y+UiMQUAAKhEpp4pDQkJkb+/v3Jzc73ac3NzZbPZLrrvpEmTNH78eK1YsUKRkZEX7duyZUuFhIToxx9/LHG71WpVUFCQ1wIAAIDKY2pSGhAQoOjoaK+HlM49tBQXF3fB/SZOnKhx48Zp+fLl6tChwyU/5+eff1ZeXp4aN25cLnEDAACgfJn+9L3dbtesWbOUmpqqnTt3asiQISooKNDAgQMlSYmJiUpKSvL0nzBhgkaPHq05c+aoefPmcjgccjgcOnHihCTpxIkTev7557Vu3Trt27dPaWlpuvfee9W6dWslJCSYcowAAAC4ONPvKe3Tp48OHz6s5ORkORwORUVFafny5Z6Hn7Kzs+Xn99/cefr06SoqKtIDDzzgNc6YMWP08ssvy9/fX9u2bVNqaqry8/MVFham7t27a9y4cbJarZV6bAAAACgdi2EYhtlBVDUul0vBwcFyOp3cXwqgQpkx35T1My2WCgwKlYpfflQWX+Yb0y/fAwAAACSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMF0tswOoDtxFbm1/9yud3HNQdVo1VsTQzvIP8Dc7LACVjLkAAMqOpPQyrRu5RNdOHq4o98+etgPPNVW2/S3dMvE+EyMDUJmYCwDg8lSJy/fTpk1T8+bNFRgYqNjYWGVmZl60/+LFi3XDDTcoMDBQERER+vzzz722G4ah5ORkNW7cWLVr11Z8fLx2795d7nGvG7lEMW88INtvfoQkyeb+RTFvPKB1I5eU+2cCqHqYCwDg8lkMwzDMDGDRokVKTEzUjBkzFBsbqylTpmjx4sXKyspSo0aNzuv/zTff6Pbbb1dKSoruueceLViwQBMmTNCmTZvUrl07SdKECROUkpKi1NRUtWjRQqNHj9b27dv1/fffKzAw8JIxuVwuBQcHy+l0KigoqMQ+7iK3cus0l839c4mZfbEscvg10dX7v+PyHVCNuYvcKmjWVqHFv1xwLjjo31S2k3tLnAtKM9+Ut7J+psVSgUGhUpn7y4+axKf5xjBZTEyM8dRTT3nW3W63ERYWZqSkpJTY/6GHHjJ69uzp1RYbG2s88cQThmEYRnFxsWGz2Yw33njDsz0/P9+wWq3GRx99VOKYp06dMpxOp2fJyckxJBlOp/OCcW/+2yrDOPvfNQsLC8sll81/W1XiXOJ0Oo1LzTflrayfWQX+GlnKaQEqiy/zjamX74uKirRx40bFx8d72vz8/BQfH6+MjIwS98nIyPDqL0kJCQme/nv37pXD4fDqExwcrNjY2AuOmZKSouDgYM8SHh5+ydhP7jl4yT4AcA5zBgBcnKkPOh05ckRut1uhoaFe7aGhodq1a1eJ+zgcjhL7OxwOz/ZzbRfq83tJSUmy2+2edZfLdcnEtE6rxhfdfs63r3yutk/cXqq+AK48389co47Jd1+yX2nnDACoqXj6XpLVapXVavVpn4ihnXXguaayuX+Rn4zztp+7j+zmF7pzTylQjd38QncdGHvpuSBiaGcTogOAK4epl+9DQkLk7++v3Nxcr/bc3FzZbLYS97HZbBftf+6fvoxZFv4B/sq2vyXp7I/Ob51bz7FPISEFqjnmAgAoH6YmpQEBAYqOjlZaWpqnrbi4WGlpaYqLiytxn7i4OK/+krRy5UpP/xYtWshms3n1cblcWr9+/QXHLKtbJt6nzOf/Lod/E6/2g/5Nlfn836lNCNQQzAUAcPlMv3xvt9vVv39/dejQQTExMZoyZYoKCgo0cOBASVJiYqKaNGmilJQUSdLw4cPVpUsXvfnmm+rZs6cWLlyoDRs26L333pMkWSwWjRgxQq+++qquu+46T0mosLAw9e7du1QxGcbZS3Aul+uSfdu+FC/3yG36+v1v9Oteh2q3sOmPgzqpbYB/qfYHUD2UdS44t+3cvFMZfJnjfsvprIhoYAZ+nlBZfJrjKrgSQKm88847xrXXXmsEBAQYMTExxrp16zzbunTpYvTv39+r/8cff2xcf/31RkBAgPHHP/7RWLZsmdf24uJiY/To0UZoaKhhtVqNbt26GVlZWaWO51xJKBYWFpbKWnJyci5rHvUFcxwLC0tlL6WZ40wvnl8VFRcX68CBA6pXr54sVIsGUIEMw9Dx48cVFhYmP7/KuaOKOQ5AZfFljiMpBQAAgOlMfdAJAAAAkEhKAQAAUAWQlAIAAMB0JKUAAAAwHUkpAAAATEdSCgAAANORlAIAAMB0JKUAAAAwHUkpAAAATEdSCgAAANPVMjuAqoj3QgOoLL68F7q8MMcBqCy+zHEkpSU4cOCAwsPDzQ4DQA2Sk5Ojpk2bVspnMccBqGylmeNISktQr149SWf/AoOCgkyOBkB15nK5FB4e7pl3KgNzHIDK4sscR1JagnOXs4KCgpiwAVSKyryMzhwHoLKVZo7jQScAAACYjqQUAAAApiMpBQAAgOlISgEAAGA6klIAAACYjqQUAAAApjM1KV2zZo169eqlsLAwWSwWLV269JL7pKen6+abb5bValXr1q01b9688/pMmzZNzZs3V2BgoGJjY5WZmVn+wQMAAKDcmJqUFhQUqH379po2bVqp+u/du1c9e/bUHXfcoS1btmjEiBEaNGiQvvzyS0+fRYsWyW63a8yYMdq0aZPat2+vhIQEHTp0qKIOAwAAAJfJYhiGYXYQ0tmiqp988ol69+59wT4vvPCCli1bph07dnja+vbtq/z8fC1fvlySFBsbq44dO2rq1KmSzr7jOTw8XMOGDdOoUaNKFYvL5VJwcLCcTieFpQFUKDPmG+Y4AJXFl/nmirqnNCMjQ/Hx8V5tCQkJysjIkCQVFRVp48aNXn38/PwUHx/v6VOSwsJCuVwurwUAAACV54p6zajD4VBoaKhXW2hoqFwul3799VcdO3ZMbre7xD67du264LgpKSkaO3ZshcQMAEBNV4lv0UUFq8jr61fUmdKKkpSUJKfT6VlycnLMDgkAAKBGuaLOlNpsNuXm5nq15ebmKigoSLVr15a/v7/8/f1L7GOz2S44rtVqldVqrZCYAQAAcGlX1JnSuLg4paWlebWtXLlScXFxkqSAgABFR0d79SkuLlZaWpqnDwAAAKoeU5PSEydOaMuWLdqyZYuksyWftmzZouzsbElnL6snJiZ6+j/55JP66aefNHLkSO3atUvvvvuuPv74Yz3zzDOePna7XbNmzVJqaqp27typIUOGqKCgQAMHDqzUYwMAAEDpmXr5fsOGDbrjjjs863a7XZLUv39/zZs3TwcPHvQkqJLUokULLVu2TM8884zeeustNW3aVO+//74SEhI8ffr06aPDhw8rOTlZDodDUVFRWr58+XkPPwEAAKDqqDJ1SqsSavgBqCzUKUVNwNP31YevWWO1rVMKAACA6omkFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKYjKQUAAIDpSEoBAABguiqRlE6bNk3NmzdXYGCgYmNjlZmZecG+Xbt2lcViOW/p2bOnp8+AAQPO296jR4/KOBQAAACUQS2zA1i0aJHsdrtmzJih2NhYTZkyRQkJCcrKylKjRo3O679kyRIVFRV51vPy8tS+fXs9+OCDXv169OihuXPnetatVmvFHQQAAAAui+lJ6eTJkzV48GANHDhQkjRjxgwtW7ZMc+bM0ahRo87r36BBA6/1hQsXqk6dOuclpVarVTabrVQxFBYWqrCw0LPucrl8PQwAAABcBlMv3xcVFWnjxo2Kj4/3tPn5+Sk+Pl4ZGRmlGmP27Nnq27ev6tat69Wenp6uRo0aqU2bNhoyZIjy8vIuOEZKSoqCg4M9S3h4eNkOCAAAAGVialJ65MgRud1uhYaGerWHhobK4XBccv/MzEzt2LFDgwYN8mrv0aOH5s+fr7S0NE2YMEGrV6/WXXfdJbfbXeI4SUlJcjqdniUnJ6fsBwUAAACfmX75/nLMnj1bERERiomJ8Wrv27ev588RERGKjIxUq1atlJ6erm7dup03jtVq5Z5TAAAAE5l6pjQkJET+/v7Kzc31as/Nzb3k/aAFBQVauHChHnvssUt+TsuWLRUSEqIff/zxsuIFAABAxTA1KQ0ICFB0dLTS0tI8bcXFxUpLS1NcXNxF9128eLEKCwvVr1+/S37Ozz//rLy8PDVu3PiyYwYAAED5M71Oqd1u16xZs5SamqqdO3dqyJAhKigo8DyNn5iYqKSkpPP2mz17tnr37q2GDRt6tZ84cULPP/+81q1bp3379iktLU333nuvWrdurYSEhEo5JgAAAPjG9HtK+/Tpo8OHDys5OVkOh0NRUVFavny55+Gn7Oxs+fl5585ZWVn6+uuvtWLFivPG8/f317Zt25Samqr8/HyFhYWpe/fuGjduHPeNAgAAVFEWwzAMs4Ooalwul4KDg+V0OhUUFGR2OACqMTPmG+Y4VDaLxewIUF58zRp9mW9Mv3wPAAAAlDopPX36tEaOHKnWrVsrJiZGc+bM8dqem5srf3//cg8QAAAA1V+pk9LXXntN8+fP15NPPqnu3bvLbrfriSee8OrDnQAAAAAoi1I/6PThhx/q/fff1z333CNJGjBggO666y4NHDjQc9bUwk0jAAAAKINSnyn95Zdf1K5dO89669atlZ6erm+++UaPPvroBV/hCQAAAFxKqZNSm82mPXv2eLU1adJEq1at0rfffqsBAwaUd2wAAACoIUqdlN55551asGDBee1hYWH697//rb1795ZrYAAAAKg5Sn1P6ejRo7Vr164StzVp0kSrV6/WypUryy0wAAAA1BylTkqbNWumZs2aXXB7WFiY+vfvXy5BAQAAoGaheD4AAABMR1IKAAAA05GUAgAAwHQkpQAAADAdSSkAAABMV25Jaf/+/XXnnXeW13AAAACoQUpdEupSmjRpIj8/TrwCAADAd+WWlL7++uvlNRQAAABqmMs6tWkYhgzDKK9YAAAAUEOVKSmdPXu22rVrp8DAQAUGBqpdu3Z6//33yzs2AAAA1BA+J6XJyckaPny4evXqpcWLF2vx4sXq1auXnnnmGSUnJ5cpiGnTpql58+YKDAxUbGysMjMzL9h33rx5slgsXktgYKBXH8MwlJycrMaNG6t27dqKj4/X7t27yxQbAAAAKp7P95ROnz5ds2bN0sMPP+xp+9Of/qTIyEgNGzZMr7zyik/jLVq0SHa7XTNmzFBsbKymTJmihIQEZWVlqVGjRiXuExQUpKysLM+6xWLx2j5x4kS9/fbbSk1NVYsWLTR69GglJCTo+++/Py+BBQAAgPl8PlN6+vRpdejQ4bz26OhonTlzxucAJk+erMGDB2vgwIFq27atZsyYoTp16mjOnDkX3Mdischms3mW0NBQzzbDMDRlyhS99NJLuvfeexUZGan58+frwIEDWrp0qc/xAQAAoOL5nJQ++uijmj59+nnt7733nh555BGfxioqKtLGjRsVHx//34D8/BQfH6+MjIwL7nfixAk1a9ZM4eHhuvfee/Xdd995tu3du1cOh8NrzODgYMXGxl5wzMLCQrlcLq8FAAAAladMJaFmz56tFStW6JZbbpEkrV+/XtnZ2UpMTJTdbvf0mzx58kXHOXLkiNxut9eZTkkKDQ3Vrl27StynTZs2mjNnjiIjI+V0OjVp0iR16tRJ3333nZo2bSqHw+EZ4/djntv2eykpKRo7duzFDxoAAAAVxuekdMeOHbr55pslSXv27JEkhYSEKCQkRDt27PD0+/19nuUlLi5OcXFxnvVOnTrpxhtv1MyZMzVu3LgyjZmUlOSVTLtcLoWHh192rAAAACgdn5PSVatWlduHh4SEyN/fX7m5uV7tubm5stlspRrjqquu0k033aQff/xRkjz75ebmqnHjxl5jRkVFlTiG1WqV1WotwxEAAACgPPh8T+nhw4cvuG379u0+jRUQEKDo6GilpaV52oqLi5WWluZ1NvRi3G63tm/f7klAW7RoIZvN5jWmy+XS+vXrSz0mAAAAKpfPSWlERISWLVt2XvukSZMUExPjcwB2u12zZs1Samqqdu7cqSFDhqigoEADBw6UJCUmJiopKcnT/5VXXtGKFSv0008/adOmTerXr5/279+vQYMGSTp728CIESP06quv6rPPPtP27duVmJiosLAw9e7d2+f4AAAAUPF8vnxvt9t1//33a+DAgZo8ebKOHj2qxMREbd++XQsWLPA5gD59+ujw4cNKTk6Ww+FQVFSUli9f7nlQKTs7W35+/82djx07psGDB8vhcKh+/fqKjo7WN998o7Zt23r6jBw5UgUFBXr88ceVn5+v2267TcuXL6dGKQAAQBVlMcrw8vrNmzfr0UcfVWFhoY4eParY2FjNmTOn1PeBVnUul0vBwcFyOp0KCgoyOxwA1ZgZ8w1zHCpbBT37DBP4mjX6Mt/4fPleklq3bq127dpp3759crlc6tOnT7VJSAEAAFD5fE5K165dq8jISO3evVvbtm3T9OnTNWzYMPXp00fHjh2riBgBAABQzfmclN55553q06eP1q1bpxtvvFGDBg3S5s2blZ2drYiIiIqIEQAAANWczw86rVixQl26dPFqa9WqldauXavXXnut3AIDAABAzeHzmdLfJ6Segfz8NHr06MsOCAAAADVPqZPSu+++W06n07M+fvx45efne9bz8vK8yjIBAAAApVXqpPTLL79UYWGhZ/3111/X0aNHPetnzpxRVlZW+UYHAACAGqHUSenvy5mWobwpAAAAUKIy1SkFAAAAylOpk1KLxSLL717J8Pt1AAAAoCxKXRLKMAwNGDBAVqtVknTq1Ck9+eSTqlu3riR53W8KAAAA+KLUSWn//v291vv163den8TExMuPCAAAADVOqZPSuXPnVmQcAAAAqMF40AkAAACmIykFAACA6UhKAQAAYDqSUgAAAJiOpBQAAACmIykFAACA6UhKAQAAYLoqkZROmzZNzZs3V2BgoGJjY5WZmXnBvrNmzVLnzp1Vv3591a9fX/Hx8ef1HzBggOe1qOeWHj16VPRhAAAAoIxMT0oXLVoku92uMWPGaNOmTWrfvr0SEhJ06NChEvunp6fr4Ycf1qpVq5SRkaHw8HB1795dv/zyi1e/Hj166ODBg57lo48+qozDAQAAQBlYDMMwzAwgNjZWHTt21NSpUyVJxcXFCg8P17BhwzRq1KhL7u92u1W/fn1NnTrV85rTAQMGKD8/X0uXLi1VDIWFhSosLPSsu1wuhYeHy+l0KigoyPeDAoBScrlcCg4OrtT5xozPRM1msZgdAcqLr1mjL/ONqWdKi4qKtHHjRsXHx3va/Pz8FB8fr4yMjFKNcfLkSZ0+fVoNGjTwak9PT1ejRo3Upk0bDRkyRHl5eRccIyUlRcHBwZ4lPDy8bAcEAACAMjE1KT1y5IjcbrdCQ0O92kNDQ+VwOEo1xgsvvKCwsDCvxLZHjx6aP3++0tLSNGHCBK1evVp33XWX3G53iWMkJSXJ6XR6lpycnLIfFAAAAHxWy+wALsf48eO1cOFCpaenKzAw0NPet29fz58jIiIUGRmpVq1aKT09Xd26dTtvHKvVKqvVWikxAwAA4HymnikNCQmRv7+/cnNzvdpzc3Nls9kuuu+kSZM0fvx4rVixQpGRkRft27JlS4WEhOjHH3+87JgBAABQ/kxNSgMCAhQdHa20tDRPW3FxsdLS0hQXF3fB/SZOnKhx48Zp+fLl6tChwyU/5+eff1ZeXp4aN25cLnEDAACgfJleEsput2vWrFlKTU3Vzp07NWTIEBUUFGjgwIGSpMTERCUlJXn6T5gwQaNHj9acOXPUvHlzORwOORwOnThxQpJ04sQJPf/881q3bp327duntLQ03XvvvWrdurUSEhJMOUYAAABcnOn3lPbp00eHDx9WcnKyHA6HoqKitHz5cs/DT9nZ2fLz+2/uPH36dBUVFemBBx7wGmfMmDF6+eWX5e/vr23btik1NVX5+fkKCwtT9+7dNW7cOO4bBQAAqKJMr1NaFVHDD0BloU4pagLqlFYf1bZOKQAAACCRlAIAAKAKICkFAACA6UhKAQAAYDqSUgAAAJiOpBQAAACmIykFAACA6UhKAQAAYDqSUgAAAJiOpBQAAACmIykFAACA6UhKAQAAYDqSUgAAAJiOpBQAAACmIykFAACA6UhKAQAAYDqSUgAAAJiOpBQAAACmq2V2ANWBu8it7e9+pZN7DqpOq8aKGNpZ/gH+ZocFoJIxFwBA2ZGUXqZ1I5fo2snDFeX+2dN24Lmmyra/pVsm3mdiZAAqE3MBAFyeKnH5ftq0aWrevLkCAwMVGxurzMzMi/ZfvHixbrjhBgUGBioiIkKff/6513bDMJScnKzGjRurdu3aio+P1+7du8s97nUjlyjmjQdk+82PkCTZ3L8o5o0HtG7kknL/TABVD3MBAFw+i2EYhpkBLFq0SImJiZoxY4ZiY2M1ZcoULV68WFlZWWrUqNF5/b/55hvdfvvtSklJ0T333KMFCxZowoQJ2rRpk9q1aydJmjBhglJSUpSamqoWLVpo9OjR2r59u77//nsFBgZeMiaXy6Xg4GA5nU4FBQWV2Mdd5FZuneayuX8uMbMvlkUOvya6ev93XL4DqjF3kVsFzdoqtPiXC84FB/2bynZyb4lzQWnmm/JmxmeiZrNYzI4A5cXXrNGn+cYwWUxMjPHUU0951t1utxEWFmakpKSU2P+hhx4yevbs6dUWGxtrPPHEE4ZhGEZxcbFhs9mMN954w7M9Pz/fsFqtxkcffVTimKdOnTKcTqdnycnJMSQZTqfzgnFv/tsqwzj774aFhYXlksvmv60qcS5xOp3Gpeab8mbGZ6JmqwL/CbKU0+IrX+YbUy/fFxUVaePGjYqPj/e0+fn5KT4+XhkZGSXuk5GR4dVfkhISEjz99+7dK4fD4dUnODhYsbGxFxwzJSVFwcHBniU8PPySsZ/cc/CSfQDgHOYMALg4Ux90OnLkiNxut0JDQ73aQ0NDtWvXrhL3cTgcJfZ3OBye7efaLtTn95KSkmS32z3rLpfrkolpnVaNL7r9nG9f+Vxtn7i9VH0BXHm+n7lGHZPvvmS/0s4ZAFBT8fS9JKvVKqvV6tM+EUM768BzTWVz/yI/GedtP3cf2c0vdOeeUqAau/mF7jow9tJzQcTQziZEBwBXDlMv34eEhMjf31+5uble7bm5ubLZbCXuY7PZLtr/3D99GbMs/AP8lW1/S9LZH53fOreeY59CQgpUc8wFAFA+TE1KAwICFB0drbS0NE9bcXGx0tLSFBcXV+I+cXFxXv0laeXKlZ7+LVq0kM1m8+rjcrm0fv36C45ZVrdMvE+Zz/9dDv8mXu0H/Zsq8/m/U5sQqCGYCwDg8pl++d5ut6t///7q0KGDYmJiNGXKFBUUFGjgwIGSpMTERDVp0kQpKSmSpOHDh6tLly5688031bNnTy1cuFAbNmzQe++9J0myWCwaMWKEXn31VV133XWeklBhYWHq3bt3qWIyjLOX4Fwu1yX7tn0pXu6R2/T1+9/o170O1W5h0x8HdVLbAP9S7Q+geijrXHBu27l5pzL4MscB5cHpNDsClBdfpw2f5jjfH+4vf++8845x7bXXGgEBAUZMTIyxbt06z7YuXboY/fv39+r/8ccfG9dff70REBBg/PGPfzSWLVvmtb24uNgYPXq0ERoaalitVqNbt25GVlZWqeM5VxKKhYWFpbKWnJycy5pHfcEcx8LCUtlLaeY404vnV0XFxcU6cOCA6tWrJwsVfwFUIMMwdPz4cYWFhcnPr3LuqGKOA1BZfJnjSEoBAABgOlMfdAIAAAAkklIAAABUASSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdLXMDqAq4r3QACqLL++FLi/McQAqiy9zHElpCQ4cOKDw8HCzwwBQg+Tk5Khp06aV8lnMcQAqW2nmOJLSEtSrV0/S2b/AoKAgk6MBUJ25XC6Fh4d75p3KwBwHoLL4MseRlJbg3OWsoKAgJmwAlaIyL6MzxwGobKWZ43jQCQAAAKYjKQUAAIDpSEoBAABgOpJSAAAAmI6kFAAAAKbj6XsAKCfuIre2v/uVTu45qDqtGitiaGf5B/ibHRYAXBFMPVO6Zs0a9erVS2FhYbJYLFq6dOkl90lPT9fNN98sq9Wq1q1ba968eef1mTZtmpo3b67AwEDFxsYqMzOz/IMHgN9YN3KJcus0V9Qzd6jT1D8r6pk7lFunudaNXGJ2aABwRTA1KS0oKFD79u01bdq0UvXfu3evevbsqTvuuENbtmzRiBEjNGjQIH355ZeePosWLZLdbteYMWO0adMmtW/fXgkJCTp06FBFHQaAGm7dyCWKeeMB2dw/e7Xb3L8o5o0HSEwBoBQshmEYZgchnS2q+sknn6h3794X7PPCCy9o2bJl2rFjh6etb9++ys/P1/LlyyVJsbGx6tixo6ZOnSrp7Duew8PDNWzYMI0aNapUsbhcLgUHB8vpdFJYGsBFuYvcyq3TXDb3zyX+X36xLDro31S2k3tLvJRvxnzDHAegsvgy31xRDzplZGQoPj7eqy0hIUEZGRmSpKKiIm3cuNGrj5+fn+Lj4z19SlJYWCiXy+W1AEBpbH/3K4VdICGVJD8ZauLO0fZ3v6rUuADgSnNFPejkcDgUGhrq1RYaGiqXy6Vff/1Vx44dk9vtLrHPrl27LjhuSkqKxo4dWyExA6i+tk79SoFJw0vV9+SegxUcTcWrxDehooJV9jVSvjvVR0V+d66oM6UVJSkpSU6n07Pk5OSYHRKAKsooNvTty8u0Leg2tR92u244ta1U+9Vp1biCIwOAK9sVdabUZrMpNzfXqy03N1dBQUGqXbu2/P395e/vX2Ifm812wXGtVqusVmuFxAygejhz6owyn1+shu+PV8f/JKKFCtC6Nv11w+5/6g/FufLT+acQzt1TGjG0c2WHDABXlCvqTGlcXJzS0tK82lauXKm4uDhJUkBAgKKjo736FBcXKy0tzdMHAHxR6CrUmn7v6Zd6N6jT1D+rzaltOq6rld7hOR3buFdddr2nvc+erSBSLO9rlOfWc+xTqFcKAJdgalJ64sQJbdmyRVu2bJF0tuTTli1blJ2dLensZfXExERP/yeffFI//fSTRo4cqV27dundd9/Vxx9/rGeeecbTx263a9asWUpNTdXOnTs1ZMgQFRQUaODAgZV6bACubMcPHFd6rzd1rH4L3f7hE2p2Zo/yLA2VfucrOvPjfnX99g3Zbg6TJN0y8T5lPv93OfybeI1x0L+pMp//u26ZeJ8ZhwAAVxbDRKtWrTIknbf079/fMAzD6N+/v9GlS5fz9omKijICAgKMli1bGnPnzj1v3Hfeece49tprjYCAACMmJsZYt26dT3E5nU5DkuF0Ost4ZACuVHk/HDFW3Z5sHLXUN4yz9/QbB/yaGOm9/2acyD1x0X3PFJ4xNv9tlbH26QXG5r+tMs4Unrnk55kx35T1M//z18FSDZbKZvbxspj33fFlvqkydUqrEmr4ATXPwQ2/KOuJN9Vh03u6WgWSpL1XXaefHxml2Hf6KeDqgAr53CupTilPUFcflf3Lz3en+vD1u+PLfHNFPegEAOVt38rdynl6gmJ/mK+uOi1J2lU7SseefFEx4+9TC+4FBYBKQVIKoEbKWrRFec+nKDbn72quYknSluDbdea5JEW/mCCLH6d2AKAykZQCqFG2Tv1KRa+kqOPhLzxtmY3uUe1XkhT1RCcTIwOAmo2kFEC1ZxQb2vDK57JOTlH742slSW75aV2zPvrDpFGKeSDS5AgBACSlAKotd5Fb659brIazxqvjqa2Szha8X3/jQDWb+rxuvbOVyRECAM4hKQVQ7RS6CrV+aKqaLZqoTmf2SJJOqK42dBiiG2Y+o9v/U18UAFB1kJQCqDZOOE5ow+CZavP5ZN1efECSlGdpqO1d/6L2s55W11YNTI4QAHAhJKUArnhHd+dp2+B31H7N2+pqHJMkHfRroh/+9Jw6zBysro3qmhwhAOBSSEoBXLF+W/C+628L3v/5BcW83U9dgqwmRwgAKC2SUgBXnH0rdyt72ETdkpXqVfD+6BNJip1wPwXvAeAKRFIK4IpBwXsAqL5ISgFUeSUXvO+pwJeTFDXkVhMjAwCUF5JSAFWSUWxow7gvZH3zdQreA0ANQFIKoEq5YMH7GwacLXjfrbXJEQIAKgJJKYAqodBVqPVPz9e1Cyeq0+kfJf2n4H30k7rhPTsF7wGgmiMpBWCqkgreH7U00Lauwyl4DwA1CEkpAFOcK3gfueYddTWOSjpb8D6r17PqMGOwutquNjlCAEBlIikFUKkObvhFWU9OVoeNM0sseN+VgvcAUCORlAKoFBS8BwBcDEkpgAp1tuD9eMXmLPYUvN8a1Fmnn3+RgvcAAA8/swOQpGnTpql58+YKDAxUbGysMjMzL9i3a9euslgs5y09e/b09BkwYMB523v06FEZhwLgP7ZO/UrfNrpbbfrepE45i+SvYmU26qlt736t9s416vBSDxJSAICH6WdKFy1aJLvdrhkzZig2NlZTpkxRQkKCsrKy1KhRo/P6L1myREVFRZ71vLw8tW/fXg8++KBXvx49emju3LmedauV+9SAinau4H3A5BS1d30t6WzB+/XXPqSGb4xSzEPtTY4QAFBVmZ6UTp48WYMHD9bAgQMlSTNmzNCyZcs0Z84cjRo16rz+DRp4l4dZuHCh6tSpc15SarVaZbPZShVDYWGhCgsLPesul8vXwwBqtEsVvO9EwXsAwCWYevm+qKhIGzduVHx8vKfNz89P8fHxysjIKNUYs2fPVt++fVW3bl2v9vT0dDVq1Eht2rTRkCFDlJeXd8ExUlJSFBwc7FnCw8PLdkBADVPoKtSaxFnKufoGdXrnYbU5tVUnVFfp0c/q2Ma9un3nTDUjIQUAlIKpSemRI0fkdrsVGhrq1R4aGiqHw3HJ/TMzM7Vjxw4NGjTIq71Hjx6aP3++0tLSNGHCBK1evVp33XWX3G53ieMkJSXJ6XR6lpycnLIfFFADnHCcUPq9k3W0fkvd/n8fV/PTP+qopYHS7xir0z9mq+uGSbLxBiYAgA9Mv3x/OWbPnq2IiAjFxMR4tfft29fz54iICEVGRqpVq1ZKT09Xt27dzhvHarVyzylQChS8BwBUFFPPlIaEhMjf31+5uble7bm5uZe8H7SgoEALFy7UY489dsnPadmypUJCQvTjjz9eVrxATXVwwy9K7/CsAq5vpq6rx6qBcVT7rmqtr/q/rwbH9qjr0md0NQkpAOAymJqUBgQEKDo6WmlpaZ624uJipaWlKS4u7qL7Ll68WIWFherXr98lP+fnn39WXl6eGjdufNkxAzXJ/rQftebGx9WgY0t13ThZV6tAu2pH6ZsRixR+Ypc6z3tMVt7ABAAoB6Zfvrfb7erfv786dOigmJgYTZkyRQUFBZ6n8RMTE9WkSROlpKR47Td79mz17t1bDRs29Go/ceKExo4dq/vvv182m0179uzRyJEj1bp1ayUkJFTacQFXst8WvG/2m4L3Rc8mUV8UAFAhTE9K+/Tpo8OHDys5OVkOh0NRUVFavny55+Gn7Oxs+fl5n9DNysrS119/rRUrVpw3nr+/v7Zt26bU1FTl5+crLCxM3bt317hx47hvFLiEbe9+rcKXU9Tx8OeetsxGPRX4cpLaD7nVxMgAANWdxTAMw+wgqhqXy6Xg4GA5nU4FBQWZHQ5QoYxiQxteXa6AN18vseB9GwreVygz5puyfqaFE+TVRmX/8vPdqT58/e74Mt/4fKbU7XbL39/fs75+/XoVFhYqLi5OV111la/DATCJu8it9c//XQ1mjVfHX7dIOlfwvr+aTR1JwXsAQKUq9YNOBw8e1G233Sar1aouXbro2LFjuueeexQXF6euXbuqXbt2OnjwYEXGCqAcFLoK9VX/988WvH+7r274dcvvCt6/R8F7AEClK3VS+sILL8gwDH3yySdq3Lix7rnnHrlcLuXk5Gjfvn36wx/+oNdee60iYwVwGX5b8L7z/MH/LXjf9WUV/bCfgvcAAFOV+vL9//t//09LlizRLbfcoltvvVUhISFauXKlmjRpIkl65ZVXNHjw4AoLFEDZHNtzVFsHvaPI1W9T8B4AUGWVOik9duyYJwFt0KCB6tSpo2bNmnm2t27dmsv3QBVycMMvynpysjpsnKmuKpAk7buqtXIefkEx7zyqrtQXBQBUIaVOShs1aqSDBw8qPDxckvT000+rQYMGnu3Hjh1T3bp1yz9CAD7Zn/aj9j89UbG7UtVVRZKkrMD2yns8SbFvPKDmAf6XGAEAgMpX6qQ0KipKGRkZnvfMjx8/3mv7119/rcjIyPKNDkCpZX28VXnPpVDwHgBwRSp1Uvrpp59edHvHjh3VpUuXyw4IgG9KKnj/7R/ulvXlJLUfepuJkQEAUHrl9kanc2dQAVS8/xa8T1F711eSvAved6TgPQDgCmP6a0YBlB4F7wEA1RVJKXAFKHQVKnPY/1XTjyaq0+ndkqQTqqsN0U+ozQy7bu/QxOQIAQC4PCSlQBV2wnFCG554T23+NVmdi3+RJB21NNC2Ln9R5HtPq+t1DU2OEACA8kFSClRBJRe8D1PWPc+qw8zHKXgPAKh2SEqBKoSC9wCAmqrcktL+/fsrJydH//73v8trSKDGoOA9AKCmK7ektEmTJvLz8yuv4YAaIevjrcp7frxisz/+TcH721T07IsUvAcA1CjllpS+/vrr5TUUUO1R8B4AAG+XlZQahiFJslg4mwNcygUL3oc/eLbgfZ8ocwMEAMBEZbrePnv2bLVr106BgYEKDAxUu3bt9P7775d3bEC14C5y65tnPlbW1Ter45i71d71lYp0ldbcMFg//78sdcpeqDYkpACAGs7npDQ5OVnDhw9Xr169tHjxYi1evFi9evXSM888o+Tk5DIFMW3aNDVv3lyBgYGKjY1VZmbmBfvOmzdPFovFawkMDPTqYxiGkpOT1bhxY9WuXVvx8fHavXt3mWIDyqrQVaiv+r+v7KtvVKcpfXTDr1t0QnWVHm1X3rd7dfvO99SMNzABAHCW4aOQkBBjwYIF57UvWLDAaNiwoa/DGQsXLjQCAgKMOXPmGN99950xePBg45prrjFyc3NL7D937lwjKCjIOHjwoGdxOBxefcaPH28EBwcbS5cuNbZu3Wr86U9/Mlq0aGH8+uuvpYrJ6XQakgyn0+nz8QDHDx43Vt072Tjg18QwJMOQjKOW+saqri8beT8cMTs8VDFmzDdl/cz/fJ1ZqsFS2cw+Xhbzvju+zDc+nyk9ffq0OnTocF57dHS0zpw543NSPHnyZA0ePFgDBw5U27ZtNWPGDNWpU0dz5sy54D4Wi0U2m82zhIaGerYZhqEpU6bopZde0r333qvIyEjNnz9fBw4c0NKlS32ODyitY3uOKv3OV1QU1kxdP7WrcfEvOugXpvQ/vamrDmSr66oxasAbmAAAKJHPSemjjz6q6dOnn9f+3nvv6ZFHHvFprKKiIm3cuFHx8fH/DcjPT/Hx8crIyLjgfidOnFCzZs0UHh6ue++9V999951n2969e+VwOLzGDA4OVmxs7AXHLCwslMvl8lqA0nJsOqD0Ds+pVutmZxNP46j2XdVaax59Tw2O/aSun9p1NW9gAgDgosr09P3s2bO1YsUK3XLLLZKk9evXKzs7W4mJibLb7Z5+kydPvug4R44ckdvt9jrTKUmhoaHatWtXifu0adNGc+bMUWRkpJxOpyZNmqROnTrpu+++U9OmTeVwODxj/H7Mc9t+LyUlRWPHjr34QQO/s//fe7T/qYmK3TWPgvcAAFwmn5PSHTt26Oabb5Yk7dmzR5IUEhKikJAQ7dixw9OvospExcXFKS4uzrPeqVMn3XjjjZo5c6bGjRtXpjGTkpK8kmmXy6Xw8PDLjhXV0w9/36Yjz6acX/DenqQOo++i4D0AAGXgc1K6atWqcvvwkJAQ+fv7Kzc316s9NzdXNputVGNcddVVuummm/Tjjz9Kkme/3NxcNW7c2GvMqKioEsewWq2yWnmnOC5u2/S1OvVyimIOLdP1/2mj4D0AAOXD53tKDx8+fMFt27dv92msgIAARUdHKy0tzdNWXFystLQ0r7OhF+N2u7V9+3ZPAtqiRQvZbDavMV0ul9avX1/qMYFzzhW83xp8uyKH3qaYQ8vklp++Ce+jrIWb1fHQMkWSkAIAcNl8TkojIiK0bNmy89onTZqkmJgYnwOw2+2aNWuWUlNTtXPnTg0ZMkQFBQUaOHCgJCkxMVFJSUme/q+88opWrFihn376SZs2bVK/fv20f/9+DRo0SNLZ2wZGjBihV199VZ999pm2b9+uxMREhYWFqXfv3j7Hh5rpXMH7XVdHq8Pou/5b8L7NIOWs2EXBewAAypnPl+/tdrvuv/9+DRw4UJMnT9bRo0eVmJio7du3a8GCBT4H0KdPHx0+fFjJyclyOByKiorS8uXLPQ8qZWdny8/vv7nzsWPHNHjwYDkcDtWvX1/R0dH65ptv1LZtW0+fkSNHqqCgQI8//rjy8/N12223afny5ecV2Qd+r+hEkdY//X/VdMEEdTp99oULJ1RXG6KfUJsZdt3eoYnJEQIAUD1Zzha19c3mzZv16KOPqrCwUEePHlVsbKzmzJlT6vtAqzqXy6Xg4GA5nU4FBQWZHQ4qQcGhAn37+Htq88831bj4F0nSMUt9bb39L4qcNYz6oqgwZsw3Zf3MCnp+FSbw/Zf/8vDdqT58/e74Mt+UqSRU69at1a5dO/3jH/+QdPZsZ3VJSFGzHNtzVFsHT1VE+tvqauRJkg76hSnrnmfVYebj6kp9UQAAKoXP95SuXbtWkZGR2r17t7Zt26bp06dr2LBh6tOnj44dO1YRMQLl7vcF7xsaedpfqxUF7wEAMInPSemdd96pPn36aN26dbrxxhs1aNAgbd68WdnZ2YqIiKiIGIFys//fe7TmxidUP7qFum58U/V0QlmBkfpm2EdqcnyXbp8/WNYgyoMBAFDZfL58v2LFCnXp0sWrrVWrVlq7dq1ee+21cgsMKE8UvAcAoGrzOSn9fUJ6jp+fn0aPHn3ZAQHlqeSC93cpIDlJ7Z/ubGpsAADgv0p9+f7uu++W0+n0rI8fP175+fme9by8PK+yTIBZzhW833JNlwsUvP+chBQAgCqm1Enpl19+qcLCQs/666+/rqNHj3rWz5w5o6ysrPKNDvDB7wveRznXUPAeAIArRKkv3/++nGkZypsCFaKkgvcFqqNvb/5PwfuOTU2OEAAAXEqZ6pQCVUHBoQJteGKWrv9skjqXUPC+KwXvAQC4YpQ6KbVYLLL87pUMv18HKsNvC953+U/Be4dfY+26+1lFz3xcXcPqmRwhAADwlU+X7wcMGCCr9WwNx1OnTunJJ59U3bp1JcnrflOgIuRuOaidgycresMMddUJSdL+Wq20/+EXFDs1UV2pLwoAwBWr1Elp//79vdb79et3Xp/ExMTLjwj4nf3/3qP9T01U7K556qoiSVJWYKTyBicpZuIDahbIXSgAAFzpSv1rPnfu3IqMAzjPD3/fpsPPjdct+xd5Ct5vq3erCp99kYL3AABUM5xiQpWzfeY3+jX5dQreAwBQg5CUokowig1tfP1L1ZqUoijnGklSsSxaF/6gGkwYpY4P32RyhAAAoCKRlMJU7iK3Mkct0TUzUtTh182SpCJdpXVt+uvad0aq0/9cZ3KEAACgMpCUwhRFJ4q0ftgHavrhBMWd/kESBe8BAKjJSEpRqc4VvL/un2+qs/tnSRS8BwAAJKWoJPl7j2nLoKmKWPUWBe8BAMB5SEpRoS5Y8L7PSMW+25+C9wAAQJLkZ3YAkjRt2jQ1b95cgYGBio2NVWZm5gX7zpo1S507d1b9+vVVv359xcfHn9d/wIABnteinlt69OhR0YeB39j/7z1a0/ZJXXNTc3XdMEn1dEJZgZH6ZthHanJ8l27/4HFZSUgBAMB/mJ6ULlq0SHa7XWPGjNGmTZvUvn17JSQk6NChQyX2T09P18MPP6xVq1YpIyND4eHh6t69u3755Revfj169NDBgwc9y0cffVQZh1Pj/fD3bVrb/M9q2u163b5zpqwq0rZ6t+rbMf/S9QVb1OntvqrFG5gAAMDvWAzDMMwMIDY2Vh07dtTUqVMlScXFxQoPD9ewYcM0atSoS+7vdrtVv359TZ061fOa0wEDBig/P19Lly4tVQyFhYUqLCz0rLtcLoWHh8vpdCooKMj3g6qBzha8T1HMoX952r4N6aGAMS9S8B64CJfLpeDg4Eqdb8r6mRZeolZtVPYvP9+d6sPX744v842pZ0qLioq0ceNGxcfHe9r8/PwUHx+vjIyMUo1x8uRJnT59Wg0aNPBqT09PV6NGjdSmTRsNGTJEeXl5FxwjJSVFwcHBniU8PLxsB1TDGMWGNrz2pbZc00URT96qmEP/UrEs+ib8Ie1asEkdD39BQgoAAErF1KT0yJEjcrvdCg0N9WoPDQ2Vw+Eo1RgvvPCCwsLCvBLbHj16aP78+UpLS9OECRO0evVq3XXXXXK73SWOkZSUJKfT6VlycnLKflA1gLvIrQz7Yu26OlodXuqhKOcaFekqfXX9Y9q/fJc6ZS/SDbyBCQAA+OCKvrlv/PjxWrhwodLT0xUYGOhp79u3r+fPERERioyMVKtWrZSenq5u3bqdN47VapXVykM3l3KpgvedKXgPAADKyNQzpSEhIfL391dubq5Xe25urmw220X3nTRpksaPH68VK1YoMjLyon1btmypkJAQ/fjjj5cdc01UcKhAq/93io5c00qd5z2mFqd/0DFLfaXfnqxTu/ar68bJakxCCgAALoOpSWlAQICio6OVlpbmaSsuLlZaWpri4uIuuN/EiRM1btw4LV++XB06dLjk5/z888/Ky8tT48aNyyXumiJ/7zGldxunU7Zm6rL0GYW5f5bDr7HS75mkWj/vV9fVY9WwTYjZYQIAgGrA9Mv3drtd/fv3V4cOHRQTE6MpU6aooKBAAwcOlCQlJiaqSZMmSklJkSRNmDBBycnJWrBggZo3b+659/Tqq6/W1VdfrRMnTmjs2LG6//77ZbPZtGfPHo0cOVKtW7dWQkKCacd5JaHgPQAAqGymJ6V9+vTR4cOHlZycLIfDoaioKC1fvtzz8FN2drb8/P57Qnf69OkqKirSAw884DXOmDFj9PLLL8vf31/btm1Tamqq8vPzFRYWpu7du2vcuHHcN3oJ2ek/ad/QiYrdOVddVSRJygqMVN7gJMVMfEDNqC8KAAAqiOl1SqsiM+oGmumHf2zX4WfH65b9C+WvYknStnq3qtCepA7Jd8viR4E5oKJQpxRmoE4pyqoi65Ry6qsG+23B++v/00bBewAAYAaS0hrGKDa0MWWFar2RoijnaklSsSxa3/QB1Z+YpI7UFwUAACYgKa0h3EVuZSZ9omump6jDr5skSUW6SuuvT1TTt0cqLuH6S4wAAABQcUhKq7kLFbzfcNPjun7msxS8BwAAVQJJaTVVcKhAG558X9d9Nkmd3T9Lko5Z6mtr52GKeG+YulBfFAAAVCEkpdVM/t5j2jJoqiJWvaUuRp4kyeHXWLvuflbRMx9X17B6JkcIAABwPpLSaiJ3y0HtfPxviv52+m8K3rfU/j4vKGZqorpeE2hyhAAAABdGUnqFO1fwPmbnPHVVoaT/FLwfNEoxbzxIwXsAAHBFIGO5Qv224P21noL3nVRof5GC9wAA4IpDUnqF2f5ehn4d/fr5Be+TkxT5VGeSUQAAcEUiKb0CXKzg/TXjR6njIzebHCEAAMDlISmtwih4DwAAagqS0iqIgvcAAKCmISmtQkoqeJ9vuUZbOv+FgvcAAKBaIymtAvL3HtOWwdPU7t9vqYtxRNJ/Ct7fZVf0e09Q8B4AAFR7JKUmumDB+4dGKmZafwreAwCAGoOk1ATZ6T9p31NvKOb7uZ6C9z8ERujIoCQK3gMAgBqJ7KcSnSt4H7t/ka6VW9LZgvenRiSp48s9dT01RgEAQA1FUloO3EVubX/3K53cc1B1WjVWxNDO8g/w92zf/l6GTianKDb3n56C9xsaJuiqMS9S8B4AAECSn9kBSNK0adPUvHlzBQYGKjY2VpmZmRftv3jxYt1www0KDAxURESEPv/8c6/thmEoOTlZjRs3Vu3atRUfH6/du3dXSOzrRi5Rbp3minrmDnWa+mdFPXOHcus0V8bz/9DGlBXaXP8ORTzRSbG5/1SxLMpo+qB2frBRHY4sV/tht5OQAgAAqAokpYsWLZLdbteYMWO0adMmtW/fXgkJCTp06FCJ/b/55hs9/PDDeuyxx7R582b17t1bvXv31o4dOzx9Jk6cqLffflszZszQ+vXrVbduXSUkJOjUqVPlGvu6kUsU88YDsv2nfNM5NvfPumXSA4p+MUE35aerSFfpq+v+j/Z9vlNxOR/rRt7ABAAA4MViGIZhZgCxsbHq2LGjpk6dKkkqLi5WeHi4hg0bplGjRp3Xv0+fPiooKNC//vUvT9stt9yiqKgozZgxQ4ZhKCwsTM8++6yee+45SZLT6VRoaKjmzZunvn37XjIml8ul4OBgOZ1OBQUFldjHXeRWbp3msrl/vmBmXyyL1rQfputnPqew2PBLfi6Amqc0801V+UwLF3aqjcr+5ee7U334+t3xZb4x9UxpUVGRNm7cqPj4eE+bn5+f4uPjlZGRUeI+GRkZXv0lKSEhwdN/7969cjgcXn2Cg4MVGxt7wTELCwvlcrm8lkvZ/u5XCrtIQipJfjJ0zYD/JSEFAAC4BFOT0iNHjsjtdis0NNSrPTQ0VA6Ho8R9HA7HRfuf+6cvY6akpCg4ONizhIdfOok8uefgJfv40g8AAKAmM/2e0qogKSlJTqfTs+Tk5FxynzqtGpdq7NL2AwAAqMlMTUpDQkLk7++v3Nxcr/bc3FzZbLYS97HZbBftf+6fvoxptVoVFBTktVxKxNDOOuDfVMUq+UaZYln0i3+4IoZ2vuRYAAAANZ2pSWlAQICio6OVlpbmaSsuLlZaWpri4uJK3CcuLs6rvyStXLnS079Fixay2WxefVwul9avX3/BMcvCP8Bf2fa3zsb8u8T03HqOfYpXvVIAAACUzPTL93a7XbNmzVJqaqp27typIUOGqKCgQAMHDpQkJSYmKikpydN/+PDhWr58ud58803t2rVLL7/8sjZs2KCnn35akmSxWDRixAi9+uqr+uyzz7R9+3YlJiYqLCxMvXv3LtfYb5l4nzKf/7sc/k282g/6N1Xm83/XLRPvK9fPAwAAqK5Mf6NTnz59dPjwYSUnJ8vhcCgqKkrLly/3PKiUnZ0tP7//5s6dOnXSggUL9NJLL+nFF1/Uddddp6VLl6pdu3aePiNHjlRBQYEef/xx5efn67bbbtPy5csVGBhYqpjOVckqzVP4bV+Kl3vkNn39/jf6da9DtVvY9MdBndQ2wL9U+wOo2c7NE5VZnc+XOe63nM6KiAZmqOyfJ7471Yev3x1f5jjT65RWRT///HOpnsAHgPKSk5Ojpk2bVspnMccBqGylmeNISktQXFysAwcOqF69erKUsuKvy+VSeHi4cnJyKq0AdkWqTsdTnY5F4niqOl+PxzAMHT9+XGFhYV5XhSpSWea4mqC6fRdRufj+lMyXOc70y/dVkZ+fX5nPWJT26f0rRXU6nup0LBLHU9X5cjzBwcEVHI23y5njaoLq9l1E5eL7c77SznGmP+gEAAAAkJQCAADAdCSl5cRqtWrMmDGyWq1mh1IuqtPxVKdjkTieqq66HU9Nwr87XA6+P5ePB50AAABgOs6UAgAAwHQkpQAAADAdSSkAAABMR1IKAAAA05GUAgAAwHQkpeVg2rRpat68uQIDAxUbG6vMzEyzQyqTlJQUdezYUfXq1VOjRo3Uu3dvZWVlmR1WuRk/frwsFotGjBhhdihl9ssvv6hfv35q2LChateurYiICG3YsMHssHzmdrs1evRotWjRQrVr11arVq00btw4XSnFQNasWaNevXopLCxMFotFS5cu9dpuGIaSk5PVuHFj1a5dW/Hx8dq9e7c5waJcXCnfTeBKRlJ6mRYtWiS73a4xY8Zo06ZNat++vRISEnTo0CGzQ/PZ6tWr9dRTT2ndunVauXKlTp8+re7du6ugoMDs0C7bt99+q5kzZyoyMtLsUMrs2LFjuvXWW3XVVVfpiy++0Pfff68333xT9evXNzs0n02YMEHTp0/X1KlTtXPnTk2YMEETJ07UO++8Y3ZopVJQUKD27dtr2rRpJW6fOHGi3n77bc2YMUPr169X3bp1lZCQoFOnTlVypLhchw8fVnFxsSwWi9mhANWfgcsSExNjPPXUU551t9tthIWFGSkpKSZGVT4OHTpkSDJWr15tdiiX5fjx48Z1111nrFy50ujSpYsxfPhws0MqkxdeeMG47bbbzA6jXPTs2dP4P//n/3i13XfffcYjjzxiUkRlJ8n45JNPPOvFxcWGzWYz3njjDU9bfn6+YbVajY8++siECFFWmzdvNm688UZjzZo1ZocC1AicKb0MRUVF2rhxo+Lj4z1tfn5+io+PV0ZGhomRlQ+n0ylJatCggcmRXJ6nnnpKPXv29Pr3dCX67LPP1KFDBz344INq1KiRbrrpJs2aNcvssMqkU6dOSktL0w8//CBJ2rp1q77++mvdddddJkd2+fbu3SuHw+H1fQsODlZsbGy1mBdqiq1bt+qWW27Rn/70J3Xu3NnscHCFMv5z28f27du1aNEi/fOf/9TevXtNjqrqqmV2AFeyI0eOyO12KzQ01Ks9NDRUu3btMimq8lFcXKwRI0bo1ltvVbt27cwOp8wWLlyoTZs26dtvvzU7lMv2008/afr06bLb7XrxxRf17bff6i9/+YsCAgLUv39/s8PzyahRo+RyuXTDDTfI399fbrdbr732mh555BGzQ7tsDodDkkqcF85tQ9W2bds23XrrrXruuef06quvetpPnTqlwMBAEyPDlcTtdsvf319LlizRiBEjFBwcrLp166qwsFDvv/++oqOjzQ6xyuFMKUr01FNPaceOHVq4cKHZoZRZTk6Ohg8frg8//LBa/JAUFxfr5ptv1uuvv66bbrpJjz/+uAYPHqwZM2aYHZrPPv74Y3344YdasGCBNm3apNTUVE2aNEmpqalmh4Ya7uDBg4qKitJDDz3klZCOHTtWL7/8ss6cOWNidLgSuFwuSZK/v79WrVqlwYMH68UXX9T27ds1evRo7dixQ3fffbfWrl1rcqRVD0npZQgJCZG/v79yc3O92nNzc2Wz2UyK6vI9/fTT+te//qVVq1apadOmZodTZhs3btShQ4d08803q1atWqpVq5ZWr16tt99+W7Vq1ZLb7TY7RJ80btxYbdu29Wq78cYblZ2dbVJEZff8889r1KhR6tu3ryIiIvToo4/qmWeeUUpKitmhXbZz/+1Xt3mhpqhTp446deqkjIwM7dixQ9LZB9fefPNN3X777apViwuMuLBNmzapQYMG+v7773Xy5En94x//0NChQ/Xkk0/qwIEDGjp0qO6//37dcsst6t27tzZu3Gh2yFUKSellCAgIUHR0tNLS0jxtxcXFSktLU1xcnImRlY1hGHr66af1ySef6N///rdatGhhdkiXpVu3btq+fbu2bNniWTp06KBHHnlEW7Zskb+/v9kh+uTWW289r0TXDz/8oGbNmpkUUdmdPHlSfn7e04+/v7+Ki4tNiqj8tGjRQjabzWtecLlcWr9+/RU5L9Q0wcHB+uKLL9S4cWPdf//9GjFihN544w0tWbJEd999t9nhoQrbunWr7rjjDo0YMUJt27ZVnTp19Oijj6p79+7Kz8/Xn/70J/Xo0UMLFy7UwIEDlZeXp5iYGO41/y2zn7S60i1cuNCwWq3GvHnzjO+//954/PHHjWuuucZwOBxmh+azIUOGGMHBwUZ6erpx8OBBz3Ly5EmzQys3V/LT95mZmUatWrWM1157zdi9e7fx4YcfGnXq1DE++OADs0PzWf/+/Y0mTZoY//rXv4y9e/caS5YsMUJCQoyRI0eaHVqpHD9+3Ni8ebOxefNmQ5IxefJkY/Pmzcb+/fsNwzCM8ePHG9dcc43x6aefGtu2bTPuvfdeo0WLFsavv/5qcuQoyeHDh41169YZmzZt8rQdP37cuPvuuw2LxWLMmDHDxOhwJdi2bZtRu3ZtY/To0V7t534/V6xYYcTFxRl79+41DMMw1q1bZ/Ts2dP4y1/+Yuzatauyw62ySErLwTvvvGNce+21RkBAgBETE2OsW7fO7JDKRFKJy9y5c80OrdxcyUmpYRjGP//5T6Ndu3aG1Wo1brjhBuO9994zO6QycblcxvDhw41rr73WCAwMNFq2bGn89a9/NQoLC80OrVRWrVpV4n8r/fv3NwzjbFmo0aNHG6GhoYbVajW6detmZGVlmRs0SvT9998bXbp0Me655x4jMTHRa5vT6TT+53/+x2jZsqWxdetWkyJEVZednW384Q9/MO69916v9smTJxvPPPOM4Xa7jYULFxp+fn7Gd999ZxiGYbz44ovGww8/bBw/ftyEiKsui2HwmgoAQM2zfft2de3aVUOHDtXgwYN17bXXSpK2bNkim80mm82mEydOqFevXtq3b58+++wzRUREmBw1qppt27YpMTFRLVu21KBBg3T33XfrjTfe0Msvv6x//vOfuvPOO5Wdna2hQ4dq7dq1at++vTZs2KCMjAy+T79DUgoAqHEOHDig7t27q3v37po8ebKnfcKECUpKStKoUaP07LPPqmHDhjpx4oR69+6tb7/9VhkZGec9cIiayeVyKSAgQIGBgcrMzNTIkSPVsGFDXX311fr888+1aNEi3XnnnZ7+mzdv1r///W8dPXpUiYmJatOmjYnRV008RggAqHE2btyowMBAPfHEEyouLpafn58mTZqkcePGafjw4Zo4caIsFovsdrsaNmyoTz75RI888ogCAgLMDh1VwMGDB5WYmKh7771Xjz32mGJiYjRhwgS98MILWr58uUaNGuVJSM+cOaNatWrppptu0k033STDMHht7QWQlAIAapzVq1fr6NGjnrNVZ86ckc1m09KlSxUfH6+YmBg98sgjKioq0tixY1WvXj19+umnJBOQdPZNh/7+/lqwYIECAwP1yCOPKDY2Vn/7299kt9v17bffatmyZerZs6dq1arl+R8fXBx/QwCAGmH37t2eUl316tWTn5+fDh8+LLfbrVq1aumRRx5RfHy8DMPQww8/rMcee0zr1q3zlI8jIYUknT59WlarVZ9++qmaNm2q9957Tx9++KF+/fVX3XTTTZowYYKOHz+ud999V1988YUkeSWkfI8ujKQUAFDtbdmyRTfffLOn1m9cXJx++uknLV26tMSaxadPn5a/v79iY2M5wwVJ0vHjxyVJV111lSTJarVq/vz5uvbaazVz5kxPYnruUn5RUZFef/11rVixwsywryj8lwYAqNa2bt2qW2+9VU8//bSGDh0qSeratasGDBigJ554Qh999JGk/57BKi4u1pgxY/TZZ5/p8ccf9yQhqLl27typpk2bqm/fvnrxxRf1008/6cCBAwoMDNSHH36oG264Qe+++64++OADnTx5UjExMXr55Zd1zTXX6MYbbzQ7/CsGT98DAKqtbdu2KS4uTiNGjNBrr73maV+1apUcDocWLVqkf/7zn3ryySd166236ujRo1q3bp0+//xzpaWl6aabbjIxelQFZ86c0fz58zVo0CDZbDa1aNFCP/30k0JCQtSjRw/16NFDHTt21IABA/Trr7/qgQce0J///GfVrl1bp06dUmBgoNmHcMXgQScAQLWUk5Ojbt266Z577vFKSF955RXNnTtXaWlpio6O1s0336y33npLH374oRo3bqyoqCh9/fXXlH6CvvvuOy1ZskQjRozQoUOH9Ne//lXvvPOOQkJC9P3332v+/PlauHChbDabQkNDtXr1amVlZXkefrJarWYfwhWFy/cAgGrJ7XarRYsWOnXqlNauXStJGj9+vN555x1NmzZNLVu21PXXX6/k5GR999132rJli9auXat58+aRkEJbt25VRESEatWqpXr16mnUqFGy2+169NFHdeDAAQ0ZMkSrVq3S1q1b9dBDD+mPf/yjAgICdPLkSd1yyy2SeKjJV1y+BwBUW7t379Zf/vIXBQQEKDQ0VEuXLtUHH3yg7t27e9WL/P7770lE4fH999+rQ4cOGjlypF5++WWvbS+88IL+9re/ac6cOerXr5/Xtp9++kn16tXTH/7wh0qMtvogKQUAVGs//PCDnn76aX399dcaN26cnn32WZ376bNYLBo9erTmzZun7du3Kzg4mLNbNdyOHTt0xx136A9/+IO+//57SWerMfz2gbdRo0Zp8uTJSk1N1cMPP2xWqNUOl+8BANXa9ddfr+nTp6tz585KS0vTV199JYvFIovFouTkZE2aNElLly7VNddcQ0Jaw23dulWxsbFq166dnE6nhg8fLulsGSi32+3pN378eNntdg0ePFhz5841K9xqhzOlAIAa4dylfMMwlJKSopUrV2rMmDH6+uuvFR0dbXZ4MNmGDRvUqVMn/fWvf9VLL72k2bNn669//av+/Oc/66233pJ09j7l39a1ffrpp7V48WLt3r1bQUFBZoVebZCUAgBqjN27d8tutyszM1PHjh1TRkYGCSkkSWvWrNE//vEPTwLqdDq1aNGiSyamhw4dUqNGjUyJubohKQUA1ChZWVkaOXKkXn/9df3xj380OxxUQecegnO5XFq4cOF5iemZM2dUqxZVNcsbSSkAoMb5/YMrwIX8NjF99NFHNXnyZLNDqrZI8wEANQ4JKUorKChIffv2lZ+fnx5//HFZrValpKSYHVa1RFIKAABwEUFBQXrwwQd11VVXKS4uzuxwqi0u3wMAAJTCb1+4gPJHnVIAAIBSICGtWCSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMB1JKQAAAExHUgoAAADTkZQCAADAdCSlAAAAMB1JKQAAAExHUgoAAADT/X/X2et+aLQhZAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cno.plot_fitness(G1, exp_list_G1_and, P, measured_only=True)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "AND1\n", "\n", "AND1\n", "\n", "\n", "\n", "EGF->AND1\n", "\n", "\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "AND1->Ras\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->AND1\n", "\n", "\n", "\n", "\n", "\n", "TNFa->Ras\n", "\n", "\n", "\n", "\n", "\n", "e_5_target\n", "\n", "\n", "\n", "\n", "Ras->e_5_target\n", "\n", "\n", "\n", "\n", "\n", "e_6_source\n", "\n", "\n", "\n", "\n", "e_6_source->EGF\n", "\n", "\n", "\n", "\n", "\n", "e_7_source\n", "\n", "\n", "\n", "\n", "e_7_source->TNFa\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "G1_prep.plot(\n", " custom_edge_attr=cno.cno_style(P, flow_name=\"edge_activates\", scale=None, iexp=3)\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Tasks: \n", "1. modify the experiments so that it corresponds to a scenario where only EGF could activate RAS, but not TNFa. \n", "2. modify the experiments so that it corresponds to a scenario where both TNFa or EGF could activate RAS.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Inhibition: !EGF activates RAS\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's define the same network but now we will add an inhibition of EGF on RAS. This means that if EGF is active, RAS should be inactive.\n", "Note the difference in the definition of the prior knowledge network.\n", "\n", "We also change the experiments so that the output RAS is active only when TNFa is active." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Test graph\n", "G2 = cn.Graph.from_sif_tuples(\n", " [\n", " (\"EGF\", -1, \"AND1\"),\n", " (\"TNFa\", 1, \"AND1\"),\n", " (\"AND1\", 1, \"Ras\"),\n", " (\"EGF\", -1, \"Ras\"),\n", " (\"TNFa\", 1, \"Ras\"),\n", " ]\n", ")\n", "\n", "# RAS is only active iff both EGF and TNFa are active -> we need to idetify the AND gate\n", "exp_list_G2_egf = {\n", " \"exp0\": {\"input\": {\"EGF\": 0, \"TNFa\": 0}, \"output\": {\"Ras\": 1}},\n", " \"exp1\": {\"input\": {\"EGF\": 1, \"TNFa\": 0}, \"output\": {\"Ras\": 0}},\n", " \"exp2\": {\"input\": {\"EGF\": 0, \"TNFa\": 1}, \"output\": {\"Ras\": 1}},\n", " \"exp3\": {\"input\": {\"EGF\": 1, \"TNFa\": 1}, \"output\": {\"Ras\": 0}},\n", "}" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "AND1\n", "\n", "AND1\n", "\n", "\n", "\n", "EGF->AND1\n", "\n", "\n", "\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "\n", "AND1->Ras\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->AND1\n", "\n", "\n", "\n", "\n", "\n", "TNFa->Ras\n", "\n", "\n", "\n", "\n", "\n", "e_5_target\n", "\n", "\n", "\n", "\n", "Ras->e_5_target\n", "\n", "\n", "\n", "\n", "\n", "e_6_source\n", "\n", "\n", "\n", "\n", "e_6_source->EGF\n", "\n", "\n", "\n", "\n", "\n", "e_7_source\n", "\n", "\n", "\n", "\n", "e_7_source->TNFa\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "G2_prep = cno.expand_graph_for_flows(G2, exp_list_G2_egf)\n", "G2_prep.plot()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "P2 = cno.cellnoptILP(G2_prep, exp_list_G2_egf, verbose=False)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cno.plot_fitness(G2_prep, exp_list_G2_egf, P2, measured_only=True)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "AND1\n", "\n", "AND1\n", "\n", "\n", "\n", "EGF->AND1\n", "\n", "\n", "\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "\n", "AND1->Ras\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->AND1\n", "\n", "\n", "\n", "\n", "\n", "TNFa->Ras\n", "\n", "\n", "\n", "\n", "\n", "e_5_target\n", "\n", "\n", "\n", "\n", "Ras->e_5_target\n", "\n", "\n", "\n", "\n", "\n", "e_6_source\n", "\n", "\n", "\n", "\n", "e_6_source->EGF\n", "\n", "\n", "\n", "\n", "\n", "e_7_source\n", "\n", "\n", "\n", "\n", "e_7_source->TNFa\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "G2_prep.plot(\n", " custom_edge_attr=cno.cno_style(P2, flow_name=\"edge_activates\", scale=None, iexp=0)\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Inhibition with AND gates" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Please remember, inhibitions are added to the incoming edge of the AND node. The outgoing edges of the AND node are always activating by convention." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "# Test graph\n", "G2 = cn.Graph.from_sif_tuples(\n", " [\n", " (\"EGF\", -1, \"AND1\"),\n", " (\"TNFa\", 1, \"AND1\"),\n", " (\"AND1\", 1, \"Ras\"),\n", " (\"EGF\", -1, \"Ras\"),\n", " (\"TNFa\", 1, \"Ras\"),\n", " ]\n", ")\n", "\n", "# RAS is only active iff both EGF and TNFa are active -> we need to idetify the AND gate\n", "exp_list_G2_and = {\n", " \"exp0\": {\"input\": {\"EGF\": 0, \"TNFa\": 0}, \"output\": {\"Ras\": 0}},\n", " \"exp1\": {\"input\": {\"EGF\": 1, \"TNFa\": 0}, \"output\": {\"Ras\": 0}},\n", " \"exp2\": {\"input\": {\"EGF\": 0, \"TNFa\": 1}, \"output\": {\"Ras\": 1}},\n", " \"exp3\": {\"input\": {\"EGF\": 1, \"TNFa\": 1}, \"output\": {\"Ras\": 0}},\n", "}" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "AND1\n", "\n", "AND1\n", "\n", "\n", "\n", "EGF->AND1\n", "\n", "\n", "\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "\n", "AND1->Ras\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->AND1\n", "\n", "\n", "\n", "\n", "\n", "TNFa->Ras\n", "\n", "\n", "\n", "\n", "\n", "e_5_target\n", "\n", "\n", "\n", "\n", "Ras->e_5_target\n", "\n", "\n", "\n", "\n", "\n", "e_6_source\n", "\n", "\n", "\n", "\n", "e_6_source->EGF\n", "\n", "\n", "\n", "\n", "\n", "e_7_source\n", "\n", "\n", "\n", "\n", "e_7_source->TNFa\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "G2_prep = cno.expand_graph_for_flows(G2, exp_list_G2_and)\n", "G2_prep.plot()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "AND1\n", "\n", "AND1\n", "\n", "\n", "\n", "EGF->AND1\n", "\n", "\n", "\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "\n", "AND1->Ras\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->AND1\n", "\n", "\n", "\n", "\n", "\n", "TNFa->Ras\n", "\n", "\n", "\n", "\n", "\n", "e_5_target\n", "\n", "\n", "\n", "\n", "Ras->e_5_target\n", "\n", "\n", "\n", "\n", "\n", "e_6_source\n", "\n", "\n", "\n", "\n", "e_6_source->EGF\n", "\n", "\n", "\n", "\n", "\n", "e_7_source\n", "\n", "\n", "\n", "\n", "e_7_source->TNFa\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "P2 = cno.cellnoptILP(G2_prep, exp_list_G2_and, verbose=False)\n", "G2_prep.plot(\n", " custom_edge_attr=cno.cno_style(P2, flow_name=\"edge_activates\", scale=None, iexp=2)\n", ")" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cno.plot_fitness(G2_prep, exp_list_G2_and, P2, measured_only=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Complex case study with inhibition" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's look at a more realistic case study which contains a larger network and more experiments.\n", "\n", "Also note that the we define inhibition in the experimental description. This could be, for example, the effect of small molecule kinase inhibitor. \n", "\n" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning: node 'TRAF6', graph '%3' size too small for label\n", "Warning: node 'p90RSK', graph '%3' size too small for label\n", "Warning: node 'TRAF6', graph '%3' size too small for label\n", "Warning: node 'p90RSK', graph '%3' size too small for label\n" ] }, { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "PI3K\n", "\n", "PI3K\n", "\n", "\n", "\n", "EGF->PI3K\n", "\n", "\n", "\n", "\n", "\n", "Raf\n", "\n", "Raf\n", "\n", "\n", "\n", "Ras->Raf\n", "\n", "\n", "\n", "\n", "\n", "Akt\n", "\n", "Akt\n", "\n", "\n", "\n", "PI3K->Akt\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->PI3K\n", "\n", "\n", "\n", "\n", "\n", "TRAF6\n", "\n", "TRAF6\n", "\n", "\n", "\n", "TNFa->TRAF6\n", "\n", "\n", "\n", "\n", "\n", "p38\n", "\n", "p38\n", "\n", "\n", "\n", "TRAF6->p38\n", "\n", "\n", "\n", "\n", "\n", "Jnk\n", "\n", "Jnk\n", "\n", "\n", "\n", "TRAF6->Jnk\n", "\n", "\n", "\n", "\n", "\n", "NFkB\n", "\n", "NFkB\n", "\n", "\n", "\n", "TRAF6->NFkB\n", "\n", "\n", "\n", "\n", "\n", "Hsp27\n", "\n", "Hsp27\n", "\n", "\n", "\n", "p38->Hsp27\n", "\n", "\n", "\n", "\n", "\n", "cJun\n", "\n", "cJun\n", "\n", "\n", "\n", "Jnk->cJun\n", "\n", "\n", "\n", "\n", "\n", "Mek\n", "\n", "Mek\n", "\n", "\n", "\n", "Akt->Mek\n", "\n", "\n", "\n", "\n", "\n", "\n", "Raf->Mek\n", "\n", "\n", "\n", "\n", "\n", "p90RSK\n", "\n", "p90RSK\n", "\n", "\n", "\n", "Mek->p90RSK\n", "\n", "\n", "\n", "\n", "\n", "Erk\n", "\n", "Erk\n", "\n", "\n", "\n", "Mek->Erk\n", "\n", "\n", "\n", "\n", "\n", "Erk->Hsp27\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "G3 = cn.Graph.from_sif_tuples(\n", " [\n", " (\"EGF\", 1, \"Ras\"),\n", " (\"EGF\", 1, \"PI3K\"),\n", " (\"TNFa\", 1, \"PI3K\"),\n", " (\"TNFa\", 1, \"TRAF6\"),\n", " (\"TRAF6\", 1, \"p38\"),\n", " (\"TRAF6\", 1, \"Jnk\"),\n", " (\"TRAF6\", 1, \"NFkB\"),\n", " (\"Jnk\", 1, \"cJun\"),\n", " (\"p38\", 1, \"Hsp27\"),\n", " (\"PI3K\", 1, \"Akt\"),\n", " (\"Ras\", 1, \"Raf\"),\n", " (\"Raf\", 1, \"Mek\"),\n", " (\"Akt\", -1, \"Mek\"),\n", " (\"Mek\", 1, \"p90RSK\"),\n", " (\"Mek\", 1, \"Erk\"),\n", " (\"Erk\", 1, \"Hsp27\"),\n", " ]\n", ")\n", "# G3.add_edge((), 'EGF')\n", "# G3.add_edge((), 'TNFa')\n", "# G3.add_edge('Akt', ())\n", "# G3.add_edge('cJun', ())\n", "# G3.add_edge('Hsp27', ())\n", "# G3.add_edge('NFkB', ())\n", "# G3.add_edge('Erk', ())\n", "# G3.add_edge('p90RSK', ())\n", "# G3.add_edge('Jnk', ())\n", "\n", "exp_list_toy_full = {\n", " \"exp0\": {\n", " \"input\": {\"EGF\": 0, \"TNFa\": 0},\n", " \"inhibition\": {},\n", " \"output\": {\n", " \"Akt\": 0,\n", " \"Hsp27\": 0,\n", " \"NFkB\": 0,\n", " \"Erk\": 0,\n", " \"p90RSK\": 0,\n", " \"Jnk\": 0,\n", " \"cJun\": 0,\n", " },\n", " },\n", " \"exp1\": {\n", " \"input\": {\"EGF\": 1, \"TNFa\": 0},\n", " \"inhibition\": {},\n", " \"output\": {\n", " \"Akt\": 0.91,\n", " \"Hsp27\": 0,\n", " \"NFkB\": 0.86,\n", " \"Erk\": 0.8,\n", " \"p90RSK\": 0.88,\n", " \"Jnk\": 0,\n", " \"cJun\": 0,\n", " },\n", " },\n", " \"exp2\": {\n", " \"input\": {\"EGF\": 0, \"TNFa\": 1},\n", " \"inhibition\": {},\n", " \"output\": {\n", " \"Akt\": 0.82,\n", " \"Hsp27\": 0.7,\n", " \"NFkB\": 0.90,\n", " \"Erk\": 0.0,\n", " \"p90RSK\": 0.0,\n", " \"Jnk\": 0.25,\n", " \"cJun\": 0.4,\n", " },\n", " },\n", " \"exp3\": {\n", " \"input\": {\"EGF\": 1, \"TNFa\": 1},\n", " \"inhibition\": {},\n", " \"output\": {\n", " \"Akt\": 0.91,\n", " \"Hsp27\": 0.7,\n", " \"NFkB\": 0.90,\n", " \"Erk\": 0.8,\n", " \"p90RSK\": 0.88,\n", " \"Jnk\": 0.25,\n", " \"cJun\": 0.4,\n", " },\n", " },\n", " \"exp4\": {\n", " \"input\": {\"EGF\": 1, \"TNFa\": 0},\n", " \"inhibition\": {\"Raf\": 1},\n", " \"output\": {\n", " \"Akt\": 0.91,\n", " \"Hsp27\": 0,\n", " \"NFkB\": 0.86,\n", " \"Erk\": 0.0,\n", " \"p90RSK\": 0.0,\n", " \"Jnk\": 0,\n", " \"cJun\": 0,\n", " },\n", " },\n", " \"exp5\": {\n", " \"input\": {\"EGF\": 0, \"TNFa\": 1},\n", " \"inhibition\": {\"Raf\": 1},\n", " \"output\": {\n", " \"Akt\": 0.82,\n", " \"Hsp27\": 0.7,\n", " \"NFkB\": 0.90,\n", " \"Erk\": 0.0,\n", " \"p90RSK\": 0.0,\n", " \"Jnk\": 0.25,\n", " \"cJun\": 0.4,\n", " },\n", " },\n", " \"exp6\": {\n", " \"input\": {\"EGF\": 1, \"TNFa\": 1},\n", " \"inhibition\": {\"Raf\": 1},\n", " \"output\": {\n", " \"Akt\": 0.91,\n", " \"Hsp27\": 0.7,\n", " \"NFkB\": 0.90,\n", " \"Erk\": 0.0,\n", " \"p90RSK\": 0.0,\n", " \"Jnk\": 0.25,\n", " \"cJun\": 0.4,\n", " },\n", " },\n", " \"exp7\": {\n", " \"input\": {\"EGF\": 1, \"TNFa\": 0},\n", " \"inhibition\": {\"PI3K\": 1},\n", " \"output\": {\n", " \"Akt\": 0.0,\n", " \"Hsp27\": 0,\n", " \"NFkB\": 0.0,\n", " \"Erk\": 0.8,\n", " \"p90RSK\": 0.88,\n", " \"Jnk\": 0,\n", " \"cJun\": 0,\n", " },\n", " },\n", " \"exp8\": {\n", " \"input\": {\"EGF\": 0, \"TNFa\": 1},\n", " \"inhibition\": {\"PI3K\": 1},\n", " \"output\": {\n", " \"Akt\": 0.0,\n", " \"Hsp27\": 0.7,\n", " \"NFkB\": 0.90,\n", " \"Erk\": 0.0,\n", " \"p90RSK\": 0.0,\n", " \"Jnk\": 0.25,\n", " \"cJun\": 0.4,\n", " },\n", " },\n", " \"exp9\": {\n", " \"input\": {\"EGF\": 1, \"TNFa\": 1},\n", " \"inhibition\": {\"PI3K\": 1},\n", " \"output\": {\n", " \"Akt\": 0.0,\n", " \"Hsp27\": 0.7,\n", " \"NFkB\": 0.90,\n", " \"Erk\": 0.8,\n", " \"p90RSK\": 0.88,\n", " \"Jnk\": 0.25,\n", " \"cJun\": 0.4,\n", " },\n", " },\n", "}\n", "\n", "\n", "G3.plot()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cno.plot_data(exp_list_toy_full)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning: node 'TRAF6', graph '%3' size too small for label\n", "Warning: node 'p90RSK', graph '%3' size too small for label\n", "Warning: node 'TRAF6', graph '%3' size too small for label\n", "Warning: node 'p90RSK', graph '%3' size too small for label\n" ] }, { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "PI3K\n", "\n", "PI3K\n", "\n", "\n", "\n", "EGF->PI3K\n", "\n", "\n", "\n", "\n", "\n", "Raf\n", "\n", "Raf\n", "\n", "\n", "\n", "Ras->Raf\n", "\n", "\n", "\n", "\n", "\n", "Akt\n", "\n", "Akt\n", "\n", "\n", "\n", "PI3K->Akt\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->PI3K\n", "\n", "\n", "\n", "\n", "\n", "TRAF6\n", "\n", "TRAF6\n", "\n", "\n", "\n", "TNFa->TRAF6\n", "\n", "\n", "\n", "\n", "\n", "p38\n", "\n", "p38\n", "\n", "\n", "\n", "TRAF6->p38\n", "\n", "\n", "\n", "\n", "\n", "Jnk\n", "\n", "Jnk\n", "\n", "\n", "\n", "TRAF6->Jnk\n", "\n", "\n", "\n", "\n", "\n", "NFkB\n", "\n", "NFkB\n", "\n", "\n", "\n", "TRAF6->NFkB\n", "\n", "\n", "\n", "\n", "\n", "Hsp27\n", "\n", "Hsp27\n", "\n", "\n", "\n", "p38->Hsp27\n", "\n", "\n", "\n", "\n", "\n", "cJun\n", "\n", "cJun\n", "\n", "\n", "\n", "Jnk->cJun\n", "\n", "\n", "\n", "\n", "\n", "e_22_target\n", "\n", "\n", "\n", "\n", "Jnk->e_22_target\n", "\n", "\n", "\n", "\n", "\n", "e_20_target\n", "\n", "\n", "\n", "\n", "NFkB->e_20_target\n", "\n", "\n", "\n", "\n", "\n", "e_19_target\n", "\n", "\n", "\n", "\n", "cJun->e_19_target\n", "\n", "\n", "\n", "\n", "\n", "e_16_target\n", "\n", "\n", "\n", "\n", "Hsp27->e_16_target\n", "\n", "\n", "\n", "\n", "\n", "Mek\n", "\n", "Mek\n", "\n", "\n", "\n", "Akt->Mek\n", "\n", "\n", "\n", "\n", "\n", "\n", "e_21_target\n", "\n", "\n", "\n", "\n", "Akt->e_21_target\n", "\n", "\n", "\n", "\n", "\n", "Raf->Mek\n", "\n", "\n", "\n", "\n", "\n", "p90RSK\n", "\n", "p90RSK\n", "\n", "\n", "\n", "Mek->p90RSK\n", "\n", "\n", "\n", "\n", "\n", "Erk\n", "\n", "Erk\n", "\n", "\n", "\n", "Mek->Erk\n", "\n", "\n", "\n", "\n", "\n", "e_17_target\n", "\n", "\n", "\n", "\n", "p90RSK->e_17_target\n", "\n", "\n", "\n", "\n", "\n", "Erk->Hsp27\n", "\n", "\n", "\n", "\n", "\n", "e_18_target\n", "\n", "\n", "\n", "\n", "Erk->e_18_target\n", "\n", "\n", "\n", "\n", "\n", "e_23_source\n", "\n", "\n", "\n", "\n", "e_23_source->EGF\n", "\n", "\n", "\n", "\n", "\n", "e_24_source\n", "\n", "\n", "\n", "\n", "e_24_source->TNFa\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "G3_prep = cno.expand_graph_for_flows(G3, exp_list_toy_full)\n", "G3_prep.plot()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "P_G3 = cno.cellnoptILP(G3_prep, exp_list_toy_full, verbose=False)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning: node 'TRAF6', graph '%3' size too small for label\n", "Warning: node 'p90RSK', graph '%3' size too small for label\n", "Warning: node 'TRAF6', graph '%3' size too small for label\n", "Warning: node 'p90RSK', graph '%3' size too small for label\n" ] }, { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "EGF\n", "\n", "EGF\n", "\n", "\n", "\n", "Ras\n", "\n", "Ras\n", "\n", "\n", "\n", "EGF->Ras\n", "\n", "\n", "\n", "\n", "\n", "PI3K\n", "\n", "PI3K\n", "\n", "\n", "\n", "EGF->PI3K\n", "\n", "\n", "\n", "\n", "\n", "Raf\n", "\n", "Raf\n", "\n", "\n", "\n", "Ras->Raf\n", "\n", "\n", "\n", "\n", "\n", "Akt\n", "\n", "Akt\n", "\n", "\n", "\n", "PI3K->Akt\n", "\n", "\n", "\n", "\n", "\n", "TNFa\n", "\n", "TNFa\n", "\n", "\n", "\n", "TNFa->PI3K\n", "\n", "\n", "\n", "\n", "\n", "TRAF6\n", "\n", "TRAF6\n", "\n", "\n", "\n", "TNFa->TRAF6\n", "\n", "\n", "\n", "\n", "\n", "p38\n", "\n", "p38\n", "\n", "\n", "\n", "TRAF6->p38\n", "\n", "\n", "\n", "\n", "\n", "Jnk\n", "\n", "Jnk\n", "\n", "\n", "\n", "TRAF6->Jnk\n", "\n", "\n", "\n", "\n", "\n", "NFkB\n", "\n", "NFkB\n", "\n", "\n", "\n", "TRAF6->NFkB\n", "\n", "\n", "\n", "\n", "\n", "Hsp27\n", "\n", "Hsp27\n", "\n", "\n", "\n", "p38->Hsp27\n", "\n", "\n", "\n", "\n", "\n", "cJun\n", "\n", "cJun\n", "\n", "\n", "\n", "Jnk->cJun\n", "\n", "\n", "\n", "\n", "\n", "e_22_target\n", "\n", "\n", "\n", "\n", "Jnk->e_22_target\n", "\n", "\n", "\n", "\n", "\n", "e_20_target\n", "\n", "\n", "\n", "\n", "NFkB->e_20_target\n", "\n", "\n", "\n", "\n", "\n", "e_19_target\n", "\n", "\n", "\n", "\n", "cJun->e_19_target\n", "\n", "\n", "\n", "\n", "\n", "e_16_target\n", "\n", "\n", "\n", "\n", "Hsp27->e_16_target\n", "\n", "\n", "\n", "\n", "\n", "Mek\n", "\n", "Mek\n", "\n", "\n", "\n", "Akt->Mek\n", "\n", "\n", "\n", "\n", "\n", "\n", "e_21_target\n", "\n", "\n", "\n", "\n", "Akt->e_21_target\n", "\n", "\n", "\n", "\n", "\n", "Raf->Mek\n", "\n", "\n", "\n", "\n", "\n", "p90RSK\n", "\n", "p90RSK\n", "\n", "\n", "\n", "Mek->p90RSK\n", "\n", "\n", "\n", "\n", "\n", "Erk\n", "\n", "Erk\n", "\n", "\n", "\n", "Mek->Erk\n", "\n", "\n", "\n", "\n", "\n", "e_17_target\n", "\n", "\n", "\n", "\n", "p90RSK->e_17_target\n", "\n", "\n", "\n", "\n", "\n", "Erk->Hsp27\n", "\n", "\n", "\n", "\n", "\n", "e_18_target\n", "\n", "\n", "\n", "\n", "Erk->e_18_target\n", "\n", "\n", "\n", "\n", "\n", "e_23_source\n", "\n", "\n", "\n", "\n", "e_23_source->EGF\n", "\n", "\n", "\n", "\n", "\n", "e_24_source\n", "\n", "\n", "\n", "\n", "e_24_source->TNFa\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "G3_prep.plot(\n", " custom_edge_attr=cno.cno_style(P_G3, flow_name=\"edge_activates\", scale=None, iexp=3)\n", ")" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cno.plot_fitness(G3_prep, exp_list_toy_full, P_G3)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.7" } }, "nbformat": 4, "nbformat_minor": 4 }