henhaobio
Sign in

Biology Methods and ProtocolsBioinformaticsPeer-reviewed journal article

Pharmacophore-driven Identification of N-Methyl-D-Receptor Antagonists as Potent Neuroprotective Agents Validated Using In-Vivo Studies

Mukta SharmaiD, Anupama Mittal, Aarti SinghiD, Ashwin JainarayananiD, Swapnil K. SharmaiD, Sarvesh PaliwaliD

PDFDOIPreprint

Abstract

Alzheimers disease (AD), the most widespread cause of dementia is delineated by progressive cognitive impairment in the elderly people. During its progression, N-Methyl-D-Aspartate receptor antagonists are known to play a key role in the mechanisms of learning and memory. Extensive side effects alongside other effects on learning and memory have limited the therapeutic significance of various blockers and antagonists of the NMDA receptor. In this study, we identify potential compounds targeted against NMDA. In order to reveal the essential structural features for NMDA receptor, three-dimensional pharmacophore models are constructed based on a set of known NMDA inhibitors. This is followed by virtual screening which results in novel chemical compounds having the potential to inhibit NMDA. The lead compounds are then subjected to molecular docking and assessed by a scoring function, which results in two compounds with high Libdock scores. These compounds also show interactions with important residues at the active site. The compounds are shortlisted on the basis of high estimated activity, fit values, LibDock score, no violation to Lipinskis and availability for procuring.\n\nOf the shortlisted compounds, one compound satisfying the entire aforementioned criterion is further tested using in-vivo studies on mice with the help of an eight-arm radial maze. The pharmacophore-based virtual screening protocol presented in this study pave the way forward to address the unmet medical need of Alzheimer disease.

Citations
8
FWCI
0.62
Field percentile
top 30%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSharma '18David '19Konecny '24Sangeet '22Misiachna '24Chvojkova '24
85% semantic matchBioinformatics
Mukta Sharma, Anupama Mittal, Aarti Singh+2 more·bioRxiv·May 4, 2018· 1 citations