{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# pyMaBoSS" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## A python interface for the MaBoSS software" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we show how to reproduce the step shown in the [MaBoSS tutorial](https://maboss.curie.fr/pub/TutorialMaBoSS_2_0.pdf)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import maboss\n", "import ginsim" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Loading/Building the `Simulation` object" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The file `tuto.zginml` can be converted in MaBoSS format by GINsim. This will produce two files, `tuto.bnd` and `tuto.bnd.cfg`.\n", "\n", "To quickly write the script below, go to MaBoSS -> load file (zginml format)." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "lrg = ginsim.load(\"tuto.zginml\")\n", "master_simulation = ginsim.to_maboss(lrg)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alternatively, you could also build the `Simulation` object from scratch by describing every node of the network." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from maboss import Node, Network\n", "from maboss import Simulation\n", "\n", "nd_dnaDam = Node('DNAdam', '!p53_b1 & DNAdam', 1, 1)\n", "nd_p53_b1 = Node('p53_b1', '!p53_b2 & !Mdm2nuc | p53_b2', 1, 1)\n", "nd_p53_b2 = Node('p53_b2', 'p53_b1 & !Mdm2nuc', 1, 1)\n", "nd_mdm2cyt = Node('Mdm2cyt', 'p53_b1 & p53_b2', 1, 1)\n", "nd_mdm2nuc = Node('Mdm2nuc', '!p53_b1 & !Mdm2cyt & !DNAdam | !p53_b1 & Mdm2cyt| p53_b1 & Mdm2cyt', 1, 1)\n", "\n", "testNet = Network([nd_dnaDam, nd_p53_b1, nd_p53_b2, nd_mdm2cyt, nd_mdm2nuc])\n", "\n", "testNet.set_istate(['p53_b1', 'p53_b2'],\n", " {(0, 0): 1, (1, 0): 0, (1, 1): 0})\n", "testNet.set_istate('Mdm2cyt', [1, 0])\n", "testNet.set_istate('Mdm2nuc', [1, 0])\n", "testNet.set_istate('DNAdam', [0.4, 0.6])\n", "\n", "byHand_sim = Simulation(testNet)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default, (if the network was built from scratch or if the `.cfg` file did not contain the information for a given node), all nodes have the attribute `is_internal` set to `False`. This can be changed within the script" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "master_simulation.network['DNAdam'].is_internal = True" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also use a widget to produce the same effect: go to MaBoSS -> Simulation -> set output and select all the nodes that will **not** be internal (i.e. that are output nodes)." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "#maboss.wg_set_output(master_simulation)\n", "maboss.set_output(master_simulation, [\"p53_b1\", \"p53_b2\", \"Mdm2cyt\", \"Mdm2nuc\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can change other parameters with the function update_parameters:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [], "source": [ "master_simulation.update_parameters(time_tick=0.1, max_time=4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once all the parameters are set, you can run the simulation. The following line will create two temporary files that contains everything MaBoSS needs to know to run properly. The result of the simulation are stored in a `Result` object.\n", "\n", "To run the simulation, use the command below. This command can be quickly written by going to MaBoSS -> Simulation -> run." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MaBoSS ended successfuly\n" ] } ], "source": [ "master_results = master_simulation.run()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To visualize the simulation, you can use the `make_trajectory` method of the results object." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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3kLntF4y/5uEU6G7v6kgkknaEEAJKS28Id5l4l/fGK6JoNBYBd3NH0TmhcnJC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\ntuH33UWpOIpjODf1e5NK0kyaNJIGSRaJ1OIWlf1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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "master_results.plot_trajectory()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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Rnp4ufeutt6rv/Tm4XC49duzYujlz5rRtQObv76/Mzs7mAUBaWtqDfo77kp3N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\nWxsAXymZyIqZM/lDWRkNkQi/PN61x9blubmsmHkKP5s2nf+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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "master_results.plot_piechart()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Handeling mutation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To mutate a gene you can call the method `mutate` of a simulation object. It takes as argument the name of a node and a string that can be either \"ON\" or \"OFF\".\n", "\n", "You can also use the widgets to produce mutants." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "#mutant_simulation = maboss.wg_make_mutant(master_simulation)\n", "mutant_simulation = maboss.copy_and_mutate(master_simulation, [\"Mdm2nuc\"], \"ON\")" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MaBoSS ended successfuly\n" ] } ], "source": [ "mutant_res = mutant_simulation.run()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mutant_res.plot_piechart()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }