том 132 страницы 118451

Pharmacophore-based high-throughput virtual screening (HTVS) to identify new c-Src kinase inhibitors with anticancer potential

Ali M Alaseem 1
Summya Rashid 2
Puneetha J 3
M Arockia Babu 4
Glowi Alasiri 5
Thakur Gurjeet Singh 6
Yogita Tyagi 7
Mohammad Suhail Akhter 8
Anand Mohan Singh 9
Nisha Bansal 10
Тип публикацииJournal Article
Дата публикации2026-01-01
scimago Q2
wos Q1
БС1
SJR0.608
CiteScore6.7
Impact factor3.0
ISSN09680896, 14643391
Краткое описание
c-Src is the non-receptor kinase commonly overexpressed in numerous cancer isoforms. As potential anticancer target, these receptors are difficult to target with drugs because of their continuous shuttling between cellular and nuclear compartments and role in relaying of vital signals for gene expression, cell growth, and survival. Besides this high structural homology to other kinases, the involvement of compensatory pathways and the availability of multiple domains within the same proteins further complicate the targeting by drugs. The toxicity and resistance issue with the handful of c-Src inhibitors available, which are again non-selective in approach, further complicate this process. Considering the gap, we employed a drug identification strategy for a plausible c-Src inhibition and its anticancer potential. We selected 500,000 small molecules from the ChemBridge commercial library (database) for the virtual screening. These molecules were filtered via the development of a pharmacophore model, in silico pharmacokinetics (ADME) analysis, and high-throughput virtual screening (HTVS). The top-ranked molecules based on the docking scores, which represent computational binding affinity between a protein and a ligand, were selected and eventually led to 29 best docked molecules. The visual inspection further resulted in refinement of 4 molecules (5280699, 9797370, 11200016, and 71736582), demonstrating protein–ligand interactions the most at the c-Src kinase binding site. To validate their optimal binding, we carried out 200 ns MD simulations on these four selected proteins–ligand complexes. MD analysis revealed that the inhibitors 11200016 and 71736582 were found to be exceptionally stable at the c-Src kinase binding site, meeting the essential prerequisite. The top hit, 71736582, was further corroborated biologically. 71736582 portrayed excellent anticancer potential towards various cancer cell lines (A549, MDAMB-231, HCT-116, DU-145, and PC-3). It was found to inhibit the c-Src-mediated kinase activity (IC50: 517 nM) in comparison to the positive control, bosutinib (IC50: 408 nM). The compound was also able to increase the oxidative stress and induce apoptosis in the colorectal cancer cells employed. The study thus may pave the way for exploration of the top identified ligands further to develop and establish their potential as c-Src kinase inhibitors with anticancer potential.
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Alaseem A. M. et al. Pharmacophore-based high-throughput virtual screening (HTVS) to identify new c-Src kinase inhibitors with anticancer potential // Bioorganic and Medicinal Chemistry. 2026. Vol. 132. p. 118451.
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Alaseem A. M., Rashid S., J P., Babu M. A., Alasiri G., Singh T. G., Tyagi Y., Akhter M. S., Singh A. M., Bansal N. Pharmacophore-based high-throughput virtual screening (HTVS) to identify new c-Src kinase inhibitors with anticancer potential // Bioorganic and Medicinal Chemistry. 2026. Vol. 132. p. 118451.
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TY - JOUR
DO - 10.1016/j.bmc.2025.118451
UR - https://linkinghub.elsevier.com/retrieve/pii/S096808962500392X
TI - Pharmacophore-based high-throughput virtual screening (HTVS) to identify new c-Src kinase inhibitors with anticancer potential
T2 - Bioorganic and Medicinal Chemistry
AU - Alaseem, Ali M
AU - Rashid, Summya
AU - J, Puneetha
AU - Babu, M Arockia
AU - Alasiri, Glowi
AU - Singh, Thakur Gurjeet
AU - Tyagi, Yogita
AU - Akhter, Mohammad Suhail
AU - Singh, Anand Mohan
AU - Bansal, Nisha
PY - 2026
DA - 2026/01/01
PB - Elsevier
SP - 118451
VL - 132
SN - 0968-0896
SN - 1464-3391
ER -
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@article{2026_Alaseem,
author = {Ali M Alaseem and Summya Rashid and Puneetha J and M Arockia Babu and Glowi Alasiri and Thakur Gurjeet Singh and Yogita Tyagi and Mohammad Suhail Akhter and Anand Mohan Singh and Nisha Bansal},
title = {Pharmacophore-based high-throughput virtual screening (HTVS) to identify new c-Src kinase inhibitors with anticancer potential},
journal = {Bioorganic and Medicinal Chemistry},
year = {2026},
volume = {132},
publisher = {Elsevier},
month = {jan},
url = {https://linkinghub.elsevier.com/retrieve/pii/S096808962500392X},
pages = {118451},
doi = {10.1016/j.bmc.2025.118451}
}