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An K, Yang X, Luo M, Yan J, Xu P, Zhang H, Li Y, Wu S, Warshel A, Bai C. Mechanistic study of the transmission pattern of the SARS-CoV-2 omicron variant. Proteins 2024; 92:705-719. [PMID: 38183172 PMCID: PMC11059747 DOI: 10.1002/prot.26663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/25/2023] [Accepted: 12/27/2023] [Indexed: 01/07/2024]
Abstract
The omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) characterized by 30 mutations in its spike protein, has rapidly spread worldwide since November 2021, significantly exacerbating the ongoing COVID-19 pandemic. In order to investigate the relationship between these mutations and the variant's high transmissibility, we conducted a systematic analysis of the mutational effect on spike-angiotensin-converting enzyme-2 (ACE2) interactions and explored the structural/energy correlation of key mutations, utilizing a reliable coarse-grained model. Our study extended beyond the receptor-binding domain (RBD) of spike trimer through comprehensive modeling of the full-length spike trimer rather than just the RBD. Our free-energy calculation revealed that the enhanced binding affinity between the spike protein and the ACE2 receptor is correlated with the increased structural stability of the isolated spike protein, thus explaining the omicron variant's heightened transmissibility. The conclusion was supported by our experimental analyses involving the expression and purification of the full-length spike trimer. Furthermore, the energy decomposition analysis established those electrostatic interactions make major contributions to this effect. We categorized the mutations into four groups and established an analytical framework that can be employed in studying future mutations. Additionally, our calculations rationalized the reduced affinity of the omicron variant towards most available therapeutic neutralizing antibodies, when compared with the wild type. By providing concrete experimental data and offering a solid explanation, this study contributes to a better understanding of the relationship between theories and observations and lays the foundation for future investigations.
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Affiliation(s)
- Ke An
- School of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P. R. China
- Warshel Institute for Computational Biology
- Chenzhu (MoMeD) Biotechnology Co., Ltd, Hangzhou, Zhejiang, 310005, P.R. China
| | - Xianzhi Yang
- Institute of Urology, The Third Affiliated Hospital of Shenzhen University (Luohu Hospital Group), Shenzhen 518000, China
| | - Mengqi Luo
- College of Management, Shenzhen University, Shenzhen, 518060, China
| | - Junfang Yan
- School of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P. R. China
- Warshel Institute for Computational Biology
| | - Peiyi Xu
- School of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P. R. China
- Warshel Institute for Computational Biology
| | - Honghui Zhang
- School of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P. R. China
- Warshel Institute for Computational Biology
| | - Yuqing Li
- Department of Urology, South China Hospital of Shenzhen University, Shenzhen 518116, China
| | - Song Wu
- Department of Urology, South China Hospital of Shenzhen University, Shenzhen 518116, China
| | - Arieh Warshel
- Department of Chemistry, University of Southern California, Los Angeles, California 90089-1062, United States
| | - Chen Bai
- School of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P. R. China
- Warshel Institute for Computational Biology
- Chenzhu (MoMeD) Biotechnology Co., Ltd, Hangzhou, Zhejiang, 310005, P.R. China
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Mahanta S, Naiya T, Biswas K, Changkakoti L, Mohanta YK, Tanti B, Mishra AK, Mohanta TK, Sharma N. Plant Source Derived Compound Exhibited In Silico Inhibition of Membrane Glycoprotein In SARS-CoV-2: Paving the Way to Discover a New Class of Compound For Treatment of COVID-19. Front Pharmacol 2022; 13:805344. [PMID: 35462888 PMCID: PMC9022603 DOI: 10.3389/fphar.2022.805344] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 03/04/2022] [Indexed: 12/23/2022] Open
Abstract
SARS-CoV-2 is the virus responsible for causing COVID-19 disease in humans, creating the recent pandemic across the world, where lower production of Type I Interferon (IFN-I) is associated with the deadly form of the disease. Membrane protein or SARS-CoV-2 M proteins are known to be the major reason behind the lower production of human IFN-I by suppressing the expression of IFNβ and Interferon Stimulated Genes. In this study, 7,832 compounds from 32 medicinal plants of India possessing traditional knowledge linkage with pneumonia-like disease treatment, were screened against the Homology-Modelled structure of SARS-CoV-2 M protein with the objective of identifying some active phytochemicals as inhibitors. The entire study was carried out using different modules of Schrodinger Suite 2020-3. During the docking of the phytochemicals against the SARS-CoV-2 M protein, a compound, ZIN1722 from Zingiber officinale showed the best binding affinity with the receptor with a Glide Docking Score of −5.752 and Glide gscore of −5.789. In order to study the binding stability, the complex between the SARS-CoV-2 M protein and ZIN1722 was subjected to 50 ns Molecular Dynamics simulation using Desmond module of Schrodinger suite 2020-3, during which the receptor-ligand complex showed substantial stability after 32 ns of MD Simulation. The molecule ZIN1722 also showed promising results during ADME-Tox analysis performed using Swiss ADME and pkCSM. With all the findings of this extensive computational study, the compound ZIN1722 is proposed as a potential inhibitor to the SARS-CoV-2 M protein, which may subsequently prevent the immunosuppression mechanism in the human body during the SARS-CoV-2 virus infection. Further studies based on this work would pave the way towards the identification of an effective therapeutic regime for the treatment and management of SARS-CoV-2 infection in a precise and sustainable manner.
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Affiliation(s)
- Saurov Mahanta
- National Institute of Electronics and Information Technology (NIELIT), Guwahati, India
| | - Tufan Naiya
- Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, West Bengal, India
| | - Kunal Biswas
- Centre for Nanoscience and Nanotechnology, Sathyabama Institute of Science and Technology, Chennai, India
| | - Liza Changkakoti
- National Institute of Electronics and Information Technology (NIELIT), Guwahati, India
| | - Yugal Kishore Mohanta
- Department of Applied Biology, School of Biological Sciences, University of Science and Technology Meghalaya (USTM), Baridua, India
| | - Bhaben Tanti
- Department of Botany, Gauhati University, Guwahati, India
| | - Awdhesh Kumar Mishra
- Department of Biotechnology, Yeungnam University, Gyeongsan, South Korea
- *Correspondence: Awdhesh Kumar Mishra, ; Tapan Kumar Mohanta, , ; Nanaocha Sharma,
| | - Tapan Kumar Mohanta
- Natural and Medical Sciences Research Centre, University of Nizwa, Nizwa, Oman
- *Correspondence: Awdhesh Kumar Mishra, ; Tapan Kumar Mohanta, , ; Nanaocha Sharma,
| | - Nanaocha Sharma
- Institute of Bioresources and Sustainable Development, Imphal, India
- *Correspondence: Awdhesh Kumar Mishra, ; Tapan Kumar Mohanta, , ; Nanaocha Sharma,
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