Added model 235 - breast cancer signalling pathways MDAMB231 complete

models/[id-235]__[var-110]__[in-7]__[BREAST-CANCER-SIGNALLING-PATHWAYS-MDAMB231-COMPLETE]/README.md

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+# \[235\] BREAST-CANCER-SIGNALLING-PATHWAYS-MDAMB231-COMPLETE
+
+ - Variables: 110
+ - Inputs: 7
+ - Regulations: 270
+ - Publication: https://doi.org/10.1371/journal.pone.0298788
+ - Source: https://github.com/Ktaoma/BoolSyn
+ - Keywords: source (?), curated (?), repaired (?), multi-valued (?)
+
+
+### Modifications
+
+Removed regulations:
+PG, PG
+NRG1, NRG1
+INS, INS
+ES, ES
+EGF, EGF
+DLL_i, DLL_i
+IGF1, IGF1
+
+Regulation:
+
+CYCLIN_D_c, (((TEAD1 | TCF4 | STAT3) & !(GSK3B & (CDKN2A & P21)))) & (EIF4E & MYC & STAT3)
+
+was updated to:
+
+CYCLIN_D_c, (((STAT3) & !(GSK3B & (CDKN2A & P21)))) & (EIF4E & MYC & STAT3)
+
+as the analysis stated that TEAD1 and TCF4 have no effect on CYCLIN_D_c.
+
+
+### Model citation
+
+```
+@article{bbm-235,
+	author = {Taoma, Kittisak and Ruengjitchatchawalya, Marasri and Liangruksa, Monrudee and Laomettachit, Teeraphan},
+	year = {2024},
+	doi = {https://doi.org/10.1371/journal.pone.0298788},
+	title = {Boolean modeling of breast cancer signaling pathways uncovers mechanisms of drug synergy},
+	publisher = {PLOS ONE}
+}
+
+
+```
+

models/[id-235]__[var-110]__[in-7]__[BREAST-CANCER-SIGNALLING-PATHWAYS-MDAMB231-COMPLETE]/metadata.json

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+{
+    "id": 235,
+    "name": "BREAST-CANCER-SIGNALLING-PATHWAYS-MDAMB231-COMPLETE",
+    "url-publication": "https://doi.org/10.1371/journal.pone.0298788",
+    "url-model": "https://github.com/Ktaoma/BoolSyn",
+    "keywords": [
+        "source (?)",
+        "curated (?)",
+        "repaired (?)",
+        "multi-valued (?)"
+    ],
+    "variables": 110,
+    "inputs": 7,
+    "regulations": 270,
+    "notes": "### Modifications\n\nRemoved regulations:\nPG, PG\nNRG1, NRG1\nINS, INS\nES, ES\nEGF, EGF\nDLL_i, DLL_i\nIGF1, IGF1\n\nRegulation:\n\nCYCLIN_D_c, (((TEAD1 | TCF4 | STAT3) & !(GSK3B & (CDKN2A & P21)))) & (EIF4E & MYC & STAT3)\n\nwas updated to:\n\nCYCLIN_D_c, (((STAT3) & !(GSK3B & (CDKN2A & P21)))) & (EIF4E & MYC & STAT3)\n\nas the analysis stated that TEAD1 and TCF4 have no effect on CYCLIN_D_c.\n",
+    "bib": "@article{bbm-235,\n\tauthor = {Taoma, Kittisak and Ruengjitchatchawalya, Marasri and Liangruksa, Monrudee and Laomettachit, Teeraphan},\n\tyear = {2024},\n\tdoi = {https://doi.org/10.1371/journal.pone.0298788},\n\ttitle = {Boolean modeling of breast cancer signaling pathways uncovers mechanisms of drug synergy},\n\tpublisher = {PLOS ONE}\n}\n\n"
+}