An in-silico approach to identify the potential hot spots in SARS-CoV-2 spike RBD to block the interaction with ACE2 receptor.
Antony StalinDing LinBalakrishnan Senthamarai KannanYue FengYanjing WangWei ZhaoSavarimuthu IgnacimuthuDong-Qing WeiYuan ChenPublished in: Journal of biomolecular structure & dynamics (2021)
A novel acute viral pneumonia induced by SARS-CoV-2 exploded at the end of 2019, causing a severe medical and economic crisis. For developing specific pharmacotherapy against SARS-CoV-2, an in silico virtual screening was developed for the available in-house molecules. The conserved domain analysis was performed to identify the highly conserved and exposed amino acid regions in the SARS-CoV-2-S RBD sites. The Protein-Protein interaction analyses demonstrated the higher affinity between the SARS-CoV-2-S and ACE2 due to varieties of significant interactions between them. The computational alanine scanning mutation study has recognized the highly stabilized amino acids in the SARS-CoV-2-S RBD/ACE2 complex. The cumulative sequence investigations have inferred that Lys417, Phe486, Asn487, Tyr489, and Gln493 are perhaps the iconic target amino acids to develop a drug molecule or vaccine against SARS-CoV-2 infection. Most of the selected compounds include luteolin, zhebeirine, 3-dehydroverticine, embelin, andrographolide, ophiopogonin D, crocin-1, sprengerinin A, B, C, peimine, etc. were exhibited distinguish drug actions through the strong hydrogen bonding with the hot spots of the RBD. Besides, the 100 ns molecular dynamics simulation and free energy binding analysis showed the significant efficacy of luteolin to inhibit the infection of SARS-CoV-2.Communicated by Ramaswamy H. Sarma.
Keyphrases
- sars cov
- amino acid
- respiratory syndrome coronavirus
- molecular dynamics simulations
- molecular docking
- protein protein
- transcription factor
- small molecule
- angiotensin converting enzyme
- public health
- liver failure
- early onset
- coronavirus disease
- hepatitis b virus
- high resolution
- acute respiratory distress syndrome
- respiratory failure
- data analysis
- aedes aegypti