Cited 7 time in
Discovery of Novel Allosteric SHP2 Inhibitor Using Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Principal Component Analysis
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Singh, Pooja | - |
| dc.contributor.author | Kumar, Vikas | - |
| dc.contributor.author | Lee, Keun Woo | - |
| dc.contributor.author | Hong, Jong Chan | - |
| dc.date.accessioned | 2024-12-03T00:30:48Z | - |
| dc.date.available | 2024-12-03T00:30:48Z | - |
| dc.date.issued | 2024-07 | - |
| dc.identifier.issn | 1424-8247 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/73435 | - |
| dc.description.abstract | SHP2 belongs to a cytoplasmic non-receptor protein tyrosine phosphatase class. It plays a critical role in the development of various cancers, such as gastric cancer, leukemia, and breast cancer. Thus, SHP2 has gained the interest of researchers as a potential target for inhibiting tumor cell proliferation in SHP2-dependent cancers. This study employed pharmacophore-based virtual screening, molecular docking, molecular dynamic (MD) simulations, MM/PBSA, and principal component analysis (PCA), followed by ADME prediction. We selected three potential hits from a collective database of more than one million chemical compounds. The stability of these selected hit-protein complexes was analyzed using 500 ns MD simulations and binding free energy calculations. The identified hits Lig_1, Lig_6, and Lig_14 demonstrated binding free energies of -161.49 kJ/mol, -151.28 kJ/mol, and -107.13 kJ/mol, respectively, compared to the reference molecule (SHP099) with a Delta G of -71.48 kJ/mol. Our results showed that the identified compounds could be used as promising candidates for selective SHP2 allosteric inhibition in cancer. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | - |
| dc.title | Discovery of Novel Allosteric SHP2 Inhibitor Using Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Principal Component Analysis | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/ph17070935 | - |
| dc.identifier.scopusid | 2-s2.0-85199886210 | - |
| dc.identifier.wosid | 001277061100001 | - |
| dc.identifier.bibliographicCitation | Pharmaceuticals, v.17, no.7 | - |
| dc.citation.title | Pharmaceuticals | - |
| dc.citation.volume | 17 | - |
| dc.citation.number | 7 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Pharmacology & Pharmacy | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Medicinal | - |
| dc.relation.journalWebOfScienceCategory | Pharmacology & Pharmacy | - |
| dc.subject.keywordPlus | TYROSINE-PHOSPHATASE SHP2 | - |
| dc.subject.keywordPlus | GROMACS | - |
| dc.subject.keywordPlus | TOOL | - |
| dc.subject.keywordAuthor | SHP2 | - |
| dc.subject.keywordAuthor | receptor-based pharmacophore modeling | - |
| dc.subject.keywordAuthor | molecular docking | - |
| dc.subject.keywordAuthor | molecular dynamic simulations | - |
| dc.subject.keywordAuthor | cancer | - |
| dc.subject.keywordAuthor | MM-PBSA | - |
| dc.subject.keywordAuthor | PCA | - |
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