Discovery of a novel PI3Kα inhibitor for breast cancer therapy via virtual screening method, molecular dynamics simulation and biological evaluation

dc.contributor.authorBoonma T.
dc.contributor.authorNutho B.
dc.contributor.authorKanjanasirirat P.
dc.contributor.authorRajchakom C.
dc.contributor.authorNunthaboot N.
dc.contributor.correspondenceBoonma T.
dc.contributor.otherMahidol University
dc.date.accessioned2026-02-06T18:14:18Z
dc.date.available2026-02-06T18:14:18Z
dc.date.issued2026-05-01
dc.description.abstractPhosphatidylinositol-4,5-bisphosphate 3-kinase alpha (PI3Kα) is a central signaling enzyme driving cell proliferation and growth in cancers including breast cancer. Selective inhibition of PI3Kα isoform has become a promising therapeutic approach. In this work, 2000 in-house natural compounds were virtually screened against the ATP-binding site of PI3Kα. Of these, 618 compounds were predicted to have acceptable drug-likeness, pharmacokinetic, and toxicity properties based on in silico ADMET screening. Docking analysis highlighted four candidates forming stable hydrogen bonds with key residues V851, S854, and Q859 in the PI3Kα binding pocket. Molecular dynamics simulations were then used to assess their structural features and dynamic stability. Hit 2 was found to form strong hydrogen bonds with E849 and V851 of the PI3Kα protein. MM/GBSA-based binding free energy analysis supported that Hit 2 possessed the most favorable binding affinity to PI3Kα among the identified candidates. In vitro cytotoxicity assays were then performed in MCF-7 and MDA-MB-231 breast cancer cell lines, with alpelisib as a reference compound. Hit 2 reduced cell viability in both cell lines, but its effect was particularly pronounced in MDA-MB-231 cells, a model of triple-negative breast cancer (TNBC). These results suggest that Hit 2 represents a promising natural scaffold for further design and development in breast cancer therapy, with particular relevance for aggressive TNBC.
dc.identifier.citationJournal of Molecular Graphics and Modelling Vol.144 (2026)
dc.identifier.doi10.1016/j.jmgm.2026.109289
dc.identifier.eissn18734243
dc.identifier.issn10933263
dc.identifier.scopus2-s2.0-105027313811
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/114446
dc.rights.holderSCOPUS
dc.subjectMaterials Science
dc.subjectChemistry
dc.subjectComputer Science
dc.titleDiscovery of a novel PI3Kα inhibitor for breast cancer therapy via virtual screening method, molecular dynamics simulation and biological evaluation
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105027313811&origin=inward
oaire.citation.titleJournal of Molecular Graphics and Modelling
oaire.citation.volume144
oairecerif.author.affiliationFaculty of Science, Mahidol University
oairecerif.author.affiliationMahasarakham University

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