diff --git a/.gitignore b/.gitignore
index 840b4722..12f77789 100644
--- a/.gitignore
+++ b/.gitignore
@@ -41,7 +41,7 @@ Thumbs.db
*.asv
*.m~
*.mex*
-*.mlappinstall
+*.mlappinstall
*.mltbx
*.mat
helpsearch*/
@@ -50,4 +50,8 @@ helpsearch*/
########################
*.xls
*.xlsx
-*.tab
\ No newline at end of file
+*.tab
+
+# Python-related things #
+#########################
+*.ipynb_checkpoints/
diff --git a/ComplementaryScripts/modelTests/cobrapy-compliance.ipynb b/ComplementaryScripts/modelTests/cobrapy-compliance.ipynb
new file mode 100644
index 00000000..88062177
--- /dev/null
+++ b/ComplementaryScripts/modelTests/cobrapy-compliance.ipynb
@@ -0,0 +1,353 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# cobrapy compliance\n",
+ "\n",
+ "Notebook for confirming that every field is preserved when the model is used with cobrapy."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Using license file C:\\Users\\bejsab\\gurobi.lic\n",
+ "Academic license - for non-commercial use only\n"
+ ]
+ }
+ ],
+ "source": [
+ "import cobra\n",
+ "model = cobra.io.read_sbml_model(\"../../ModelFiles/xml/yeastGEM.xml\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 1. Metabolites"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "
\n",
+ " \n",
+ " Metabolite identifier | s_0001[ce] | \n",
+ "
\n",
+ " Name | (1->3)-beta-D-glucan [cell envelope] | \n",
+ "
\n",
+ " Memory address | \n",
+ " 0x01b5797c4d48 | \n",
+ "
\n",
+ " Formula | C6H10O5 | \n",
+ "
\n",
+ " Compartment | ce | \n",
+ "
\n",
+ " In 3 reaction(s) | \n",
+ " r_0005, r_1543, r_4048 | \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.metabolites[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.metabolites[0].charge"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'sbo': ['SBO:0000247'],\n",
+ " 'chebi': 'CHEBI:37671',\n",
+ " 'kegg.compound': 'C00965',\n",
+ " 'metanetx.chemical': 'MNXM6492'}"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.metabolites[0].annotation"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 2. Reactions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ " \n",
+ " Reaction identifier | r_2112 | \n",
+ "
\n",
+ " Name | kynurenine aminotransferase | \n",
+ "
\n",
+ " Memory address | \n",
+ " 0x01b57fc40f88 | \n",
+ "
\n",
+ " Stoichiometry | \n",
+ " \n",
+ " s_1020[c] + s_1399[c] <=> s_0955[c] + s_2763[c] \n",
+ " L-kynurenine [cytoplasm] + pyruvate [cytoplasm] <=> L-alanine [cytoplasm] + kynurenic acid [cytoplasm] \n",
+ " | \n",
+ "
\n",
+ " GPR | YJL060W | \n",
+ "
\n",
+ " Lower bound | -1000.0 | \n",
+ "
\n",
+ " Upper bound | 1000.0 | \n",
+ "
\n",
+ "
\n",
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.reactions.get_by_id(\"r_2112\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'sbo': ['SBO:0000176'],\n",
+ " 'pubmed': '18205391',\n",
+ " 'ec-code': '2.6.1.7',\n",
+ " 'kegg.reaction': 'R01959',\n",
+ " 'metanetx.reaction': 'MNXR99596'}"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.reactions.get_by_id(\"r_2112\").annotation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'Confidence Level': '3'}"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.reactions.get_by_id(\"r_2112\").notes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 3. Genes"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ " \n",
+ " Gene identifier | Q0045 | \n",
+ "
\n",
+ " Name | COX1 | \n",
+ "
\n",
+ " Memory address | \n",
+ " 0x01b57f39ba48 | \n",
+ "
\n",
+ " Functional | True | \n",
+ "
\n",
+ " In 1 reaction(s) | \n",
+ " r_0438 | \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.genes[0]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# 4. Subsystems"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'sce00040 Pentose and glucuronate interconversions'"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.groups[4].name"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " }"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.groups[4].members"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "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": "3.7.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/ComplementaryScripts/saveYeastModel.m b/ComplementaryScripts/saveYeastModel.m
index c872e2cc..262ba228 100644
--- a/ComplementaryScripts/saveYeastModel.m
+++ b/ComplementaryScripts/saveYeastModel.m
@@ -36,6 +36,9 @@ function saveYeastModel(model,upDATE)
model = addSBOterms(model);
cd ..
+%Save "proteins" ("fbc:name" in the xml file) = "geneNames" ("fbc:label" in the xml file):
+model.proteins = model.geneNames;
+
%Check if model is a valid SBML structure:
writeCbModel(model,'sbml','tempModel.xml');
[~,errors] = TranslateSBML('tempModel.xml');
diff --git a/ModelFiles/xml/yeastGEM.xml b/ModelFiles/xml/yeastGEM.xml
index b8f8d2e9..9756264d 100644
--- a/ModelFiles/xml/yeastGEM.xml
+++ b/ModelFiles/xml/yeastGEM.xml
@@ -193895,1153 +193895,1153 @@
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diff --git a/README.md b/README.md
index a19ed465..0d951ad4 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ This repository contains the current consensus genome-scale metabolic model of _
**GEM Category:** species; **Utilisation:** experimental data reconstruction, multi-omics integrative analysis, _in silico_ strain design, model template; **Field:** metabolic-network reconstruction; **Type of Model:** reconstruction, curated; **Model Source:** YeastMetabolicNetwork; **Omic Source:** genomics, metabolomics; **Taxonomy:** _Saccharomyces cerevisiae_; **Metabolic System:** general metabolism; **Bioreactor**; **Strain:** S288C; **Condition:** aerobic, glucose-limited, defined media;
-* Last update: 2020-03-31
+* Last update: 2020-04-21
* Main Model Descriptors: