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Cited 5 time in webofscience Cited 7 time in scopus
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Discovery of Novel Allosteric SHP2 Inhibitor Using Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Principal Component Analysis

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dc.contributor.authorSingh, Pooja-
dc.contributor.authorKumar, Vikas-
dc.contributor.authorLee, Keun Woo-
dc.contributor.authorHong, Jong Chan-
dc.date.accessioned2024-12-03T00:30:48Z-
dc.date.available2024-12-03T00:30:48Z-
dc.date.issued2024-07-
dc.identifier.issn1424-8247-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/73435-
dc.description.abstractSHP2 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.language영어-
dc.language.isoENG-
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)-
dc.titleDiscovery of Novel Allosteric SHP2 Inhibitor Using Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Principal Component Analysis-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/ph17070935-
dc.identifier.scopusid2-s2.0-85199886210-
dc.identifier.wosid001277061100001-
dc.identifier.bibliographicCitationPharmaceuticals, v.17, no.7-
dc.citation.titlePharmaceuticals-
dc.citation.volume17-
dc.citation.number7-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPharmacology & Pharmacy-
dc.relation.journalWebOfScienceCategoryChemistry, Medicinal-
dc.relation.journalWebOfScienceCategoryPharmacology & Pharmacy-
dc.subject.keywordPlusTYROSINE-PHOSPHATASE SHP2-
dc.subject.keywordPlusGROMACS-
dc.subject.keywordPlusTOOL-
dc.subject.keywordAuthorSHP2-
dc.subject.keywordAuthorreceptor-based pharmacophore modeling-
dc.subject.keywordAuthormolecular docking-
dc.subject.keywordAuthormolecular dynamic simulations-
dc.subject.keywordAuthorcancer-
dc.subject.keywordAuthorMM-PBSA-
dc.subject.keywordAuthorPCA-
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