Identification and investigation of hits targeting the N-methyl-D-aspartate receptor via drug repurposing: A plausible approach for anti-Alzheimer drug discovery
Nisha Bansal , Mohammad Khalid Parvez , M. Arockia Babu , Mohammed S. Al-Dosari , Thakur Gurjeet Singh , Nemat Ali , Yogita Tyagi , Ankita Dadwal , Umesh Yadav , Ashish Ranjan Dwivedi
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引用次数: 0
Abstract
The effective treatment of neurological diseases, particularly Alzheimer's disease (AD), is a significant source of frustration for drug discovery scientists. The lengthy process of drug discovery further makes this task exceedingly challenging. To enable a rapid stride in drug discovery, we focused on the drug repurposing strategy to identify new N-methyl-D-aspartate receptor (NMDAR) inhibitors from the pool of 1827 approved USFDA drugs. The high throughput virtual screening (HTVS) followed by molecular docking and molecular mechanics studies enabled us to identify two drugs, Ertugliflozin (Dock Score: −9.43 kcal/mol, MMGBSA: −104.50 kcal/mol) and Selpercatinib (Dock Score: 8.11 kcal/mol, MMGBSA: 83.62 kcal/mol), with a high affinity towards the NMDAR. The molecular dynamics analysis on these identified drugs led us to choose Ertugliflozin for its better stability as a lead for further studies. The corroboration of in silico findings led us to deduce that Ertugliflozin can inhibit NMDAR with an IC50 of 613.19 nM. These results were confirmed by the anti-NMDAR ELISA-based analysis, which was further deduced via western blotting. The work is further supported by strong literature evidence that concludes the impact of antidiabetic molecules on AD progression, along with the evidence that Ertugliflozin possesses efficacy against AD with unequivocal evidence on the biological target and the mechanism. Further work, however, is required to establish this association in the in vivo or suitable model that could mimic the AD microenvironment as a part of future research.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.