Computational exploration and experimental validation to identify a dual inhibitor of cholinesterase and amyloid-beta for the treatment of Alzheimer’s disease
| dc.contributor.author | Tripathi M.K.; Sharma P.; Tripathi A.; Tripathi P.N.; Srivastava P.; Seth A.; Shrivastava S.K. | |
| dc.date.accessioned | 2025-05-23T11:31:01Z | |
| dc.description.abstract | The cholinesterases are essential targets implicated in the pathogenesis of Alzheimer’s disease (AD). In the present study, virtual screening and molecular docking are performed to identify the potential hits. Docking-post processing (DPP) and pose filtration protocols against AChE and BChE resulted in three hits (AW00308, HTS04089, and JFD03947). Molecular Mechanics-Generalized Born Surface Area (MM-GBSA) and molecular dynamics simulation analysis affirmed the stability and binding pattern of the docked complex JFD03947, which was further synthesized and evaluated for in vitro cholinesterase inhibition (AChE, IC50 = 0.062 µM; BChE, IC50 = 1.482 µM) activity. The enzyme kinetics study of the JFD03947 against hAChE and hBChE suggested a mixed type of inhibition. The results of thioflavin T-assay also elicited anti-Aβ aggregation activity by JFD03947. Further, biological evaluation of identified compound JFD03947 also showed neuroprotective ability against the SH-SY5Y neuroblastoma cell lines. © 2020, Springer Nature Switzerland AG. | |
| dc.identifier.doi | https://doi.org/10.1007/s10822-020-00318-w | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/12843 | |
| dc.relation.ispartofseries | Journal of Computer-Aided Molecular Design | |
| dc.title | Computational exploration and experimental validation to identify a dual inhibitor of cholinesterase and amyloid-beta for the treatment of Alzheimer’s disease |