Homology Modeling and Evaluation of Sars-Cov-2 Spike Protein Mutant

Author(s):  
Hima Vyshnavi ◽  
Aswin Mohan ◽  
Shahanas Naisam ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar

Severe acute respiratory syndrome coronavirus 2 (SARS‐Cov-2), a global pandemic, affected the world, increasing every day. A mutated variant D614G, showing more virulence and transmission, was studied for forecasting the emergence of more virulent and pathogenic viral strains. This study focuses on structure modeling and validation. Characterization of proteins homologous to wild spike protein was done, and homology models of the mutated variant were modeled using these proteins. Validation of models was done using Ramachandran plot and ERRAT plot. Molecular dynamics simulation was used to validate the stability of the models, and binding affinity of these models were estimated by molecular docking with an approved antiviral drug. Docked complexes were studied and the best model was selected. Molecular dynamics simulation was used to estimate the stability of the docked complex. The model of 6VXX, a homologous of wild spike protein, was found to be stable with the interaction of the antiviral drug from this study.

2013 ◽  
Vol 51 (25-27) ◽  
pp. 5248-5253 ◽  
Author(s):  
Takashi Shimoyama ◽  
Tomohisa Yoshioka ◽  
Hiroki Nagasawa ◽  
Masakoto Kanezashi ◽  
Toshinori Tsuru

2020 ◽  
Author(s):  
Keka Talukdar

Modeling and simulation is another way of finding the interaction between different drugs and chemical species with human cell. Preliminary studies before clinical trial involve computer simulation based on the physical modeling so that clinical trial can be made easier. In many aspects of drug developing, simulation is an essential tool. Here molecular dynamics simulation is performed for the interaction of the spike protein of Covid-19 virus and some of the recently used drugs. Also, the effect of caffeine, theanine, nicotine etc on the virus is found by simulation


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