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Updated: Jul 11, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Molecular docking, molecular dynamics and binding free energy based identification of novel potential multitarget
Prashasti Sinha1, Anil Kumar Yadav1
1Department of Physics, School of Physical & Decision Science, Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India.
Abstract:
Nipah virus (NiV) is one of the most common viral diseases affecting the brain and nervous system of the body. To date, there is no significant antiviral drug specifically designed to inhibit NiV. In the last ten years, there has been a significant increase in interest in multitarget drug development. Therefore, the reported work focuses on designing a multitarget inhibitor for NiV. Among the twelve designed compounds, five exhibited better drug-likeness and ADMET properties, hence being selected for further analysis. In a molecular docking study, these compounds possessed better binding affinity as compared to Favipiravir. The RMSD of these compounds was ≤2Å and the number of H-bonds signified the better stability of the complexes formed. The ΔGbind of C4, C6 and C7 was found to be comparatively higher than the other screened compounds, revealing their greater ability to bind efficiently with NiV-G, NiV-F and NiV-N receptors, respectively. Therefore, based on molecular docking, molecular dynamics, and MM/PBSA analysis, these compounds can act as potential inhibitors of multitargets of NiV.Communicated by Ramaswamy H. Sarma.

