D155Y substitution of SARS-CoV-2 ORF3a weakens binding with Caveolin-1

被引:4
|
作者
Gupta, Suchetana [1 ]
Mallick, Ditipriya [2 ]
Banerjee, Kumarjeet [2 ]
Mukherjee, Shrimon [1 ]
Sarkar, Soumyadev [3 ]
Lee, Sonny T. M. [3 ]
Basuchowdhuri, Partha [1 ]
Jana, Siddhartha S. [2 ]
机构
[1] Indian Assoc Cultivat Sci, Sch Math & Computat Sci, Kolkata, India
[2] Indian Assoc Cultivat Sci, Sch Biol Sci, Kolkata, India
[3] Kansas State Univ, Div Biol, Manhattan, KS 66506 USA
关键词
ORF3a; SARS-CoV-2; Molecular dynamics simulation; Graph theory; Mutation; Caveolin-1; RESPIRATORY SYNDROME CORONAVIRUS; 3A PROTEIN; I-TASSER; CELLS; REPLICATION; SERVER; CHAIN;
D O I
10.1016/j.csbj.2022.01.017
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The clinical manifestation of the recent pandemic COVID-19, caused by the novel SARS-CoV-2 virus, varies from mild to severe respiratory illness. Although environmental, demographic and co-morbidity factors have an impact on the severity of the disease, contribution of the mutations in each of the viral genes towards the degree of severity needs a deeper understanding for designing a better therapeutic approach against COVID-19. Open Reading Frame-3a (ORF3a) protein has been found to be mutated at several positions. In this work, we have studied the effect of one of the most frequently occurring mutants, D155Y of ORF3a protein, found in Indian COVID-19 patients. Using computational simulations we demonstrated that the substitution at 155th changed the amino acids involved in salt bridge formation, hydrogenbond occupancy, interactome clusters, and the stability of the protein compared with the other substitutions found in Indian patients. Protein-protein docking using HADDOCK analysis revealed that substitution D155Y weakened the binding affinity of ORF3a with caveolin-1 compared with the other substitutions, suggesting its importance in the overall stability of ORF3a-caveolin-1 complex, which may modulate the virulence property of SARS-CoV-2. (C) 2022 Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
引用
收藏
页码:766 / 778
页数:13
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