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Bioinformatics-Based Approaches to Study Virus–Host Interactions During SARS-CoV-2 Infection

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SARS-CoV-2

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2452))

Abstract

As the knowledge of biomolecules is increasing from the last decades, it is helping the researchers to understand the unsolved issues regarding virology. Recent technologies in high-throughput sequencing are providing the swift generation of SARS-CoV-2 genomic data with the basic inside of viral infection. Owing to various virus–host protein interactions, high-throughput technologies are unable to provide complete details of viral pathogenesis. Identifying the virus–host protein interactions using bioinformatics approaches can assist in understanding the mechanism of SARS-CoV-2 infection and pathogenesis. In this chapter, recent integrative bioinformatics approaches are discussed to help the virologists and computational biologists in the identification of structurally similar proteins of human and SARS-CoV-2 virus, and to predict the potential of virus–host interactions. Considering experimental and time limitations for effective viral drug development, computational aided drug design (CADD) can reduce the gap between drug prediction and development. More research with respect to evolutionary solutions could be helpful to make a new pipeline for virus–host protein–protein interactions and provide more understanding to disclose the cases of host switch, and also expand the virulence of the pathogen and host range in developing viral infections.

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Authors and Affiliations

  1. Department of Biosciences, COMSATS University Islamabad, Sahiwal, Pakistan

    Muhammad Saad Khan, Qudsia Yousafi, Muhammad Azhar & Awais Ihsan

  2. Yunnan Herbal Laboratory, School of Ecology and Environmental Sciences, Yunnan University, Kunming, Yunnan, China

    Shabana Bibi

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  1. Muhammad Saad Khan
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  2. Qudsia Yousafi
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  3. Shabana Bibi
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  4. Muhammad Azhar
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  5. Awais Ihsan
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Correspondence to Awais Ihsan .

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Editors and Affiliations

  1. Department of Microbiology and Immunology; Infectious Disease TRD; BSL3 Core Facility, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

    Justin Jang Hann Chu

  2. The University of British Columbia, Vancouver, BC, Canada

    Bintou Ahmadou Ahidjo

  3. BSL3 Core Facility, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

    Chee Keng Mok

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Khan, M.S., Yousafi, Q., Bibi, S., Azhar, M., Ihsan, A. (2022). Bioinformatics-Based Approaches to Study Virus–Host Interactions During SARS-CoV-2 Infection. In: Chu, J.J.H., Ahidjo, B.A., Mok, C.K. (eds) SARS-CoV-2. Methods in Molecular Biology, vol 2452. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2111-0_13

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  • DOI: https://doi.org/10.1007/978-1-0716-2111-0_13

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