{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# MetaboFBAPkg example" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "cobrakbase 0.2.7\n" ] } ], "source": [ "import sys\n", "import cobra\n", "import cplex\n", "import cobrakbase\n", "#Put the path to ModelSEEDpy on your machine here\n", "sys.path.append(\"/Users/chenry/code/ModelSEEDpy\")\n", "#import modelseedpy.fbapkg\n", "from modelseedpy import GapfillingPkg, KBaseMediaPkg, MetaboFBAPkg\n", "from modelseedpy import FBAHelper\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "ename": "SyntaxError", "evalue": "invalid syntax (, line 18)", "output_type": "error", "traceback": [ "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m18\u001b[0m\n\u001b[0;31m mfp.build_package({\"peaks\":[{\"id\":\"peak.1\",\"inchi\":,\"set_objective\":1})\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" ] } ], "source": [ "kbase_api = cobrakbase.KBaseAPI()\n", "model = kbase_api.get_from_ws(\"test_model\",18528)\n", "pickaxe_model = kbase_api.get_from_ws(\"MMSyn3Expansion\",29280)\n", "model.solver = 'optlang-cplex'\n", "template = kbase_api.get_from_ws(\"GramNegModelTemplateV3\",\"NewKBaseModelTemplates\")\n", "media = kbase_api.get_from_ws(\"Carbon-D-Glucose\",\"KBaseMedia\")\n", "metabolome = kbase_api.get_from_ws(\"JCVI_Syn3_metabolomics\",29280)\n", "FBAHelper.set_objective_from_target_reaction(model,\"bio1\")\n", "copy_model = cobra.io.json.from_json(cobra.io.json.to_json(model))\n", "gfp = GapfillingPkg(copy_model)\n", "gfp.build_package({\n", " \"default_gapfill_models\":[pickaxe_model]\n", " \"default_gapfill_templates\":[template],\n", " \"gapfill_all_indecies_with_default_templates\":1,\n", " \"minimum_obj\":0.01,\n", " \"set_objective\":0\n", "})\n", "kmp = KBaseMediaPkg(copy_model)\n", "kmp.build_package(media)\n", "mfp = MetaboFBAPkg(copy_model)\n", "mfp.build_package({\"peaks\":metabolome.build_peaks_data(),\"set_objective\":1})\n", "sol=model.optimize()\n", "with open('MetaboFBA.lp', 'w') as out:\n", " out.write(str(model.solver))\n", "#Next minimize active reactions\n", "model.summary()\n", "\n", "cobra.io.save_json_model(model,filename)" ] } ], "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": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 4 }