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Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Comput+Biol+Med 2021 ; 135 (ä): 104555 Nephropedia Template TP
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A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-2 #MMPMID34144270
Singh R; Bhardwaj VK; Das P; Purohit R
Comput Biol Med 2021[Aug]; 135 (ä): 104555 PMID34144270show ga
BACKGROUND: Non-structural protein 1 (Nsp1), a virulence agent of SARS-CoV-2, has emerged as an important target for drug discovery. Nsp1 shuts down the host gene function by associating with the 40S ribosomal subunit. METHODS: Molecular interactions, drug-likeness, physiochemical property predictions, and robust molecular dynamics (MD) simulations were employed to discover novel Nsp1 inhibitors. In this study, we evaluated a series of molecules based on the plant (Cedrus deodara) derived alpha,beta,gamma-Himachalenes scaffolds. RESULTS: The results obtained from estimated affinity and ligand efficiency suggested that BCH10, BCH15, BCH16, and BCH17 could act as potential inhibitors of Nsp1. Moreover, MD simulations comprising various MD driven time-dependent analyses and thermodynamic free energy calculations also suggested stable protein-ligand complexes and strong interactions with the binding site. Furthermore, the selected molecules passed drug likeliness parameters and the physiochemical property analysis showed acceptable bioactivity scores. CONCLUSION: The structural parameters of dynamic simulations revealed that the reported molecules could act as lead compounds against SARS-CoV-2 Nsp1 protein.