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Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach

Omicron, a variant of concern (VOC) of SARS-CoV-2, emerged in South Africa in November 2021. Omicron has been continuously acquiring a series of new mutations, especially in the spike (S) protein that led to high infectivity and transmissibility. Peptides targeting the receptor-binding domain (RBD)...

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Autores principales: Singh, Swati, Banavath, Hemanth Naick, Godara, Priya, Naik, Biswajit, Srivastava, Varshita, Prusty, Dhaneswar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342843/
https://www.ncbi.nlm.nih.gov/pubmed/35923684
http://dx.doi.org/10.1007/s13205-022-03258-4
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author Singh, Swati
Banavath, Hemanth Naick
Godara, Priya
Naik, Biswajit
Srivastava, Varshita
Prusty, Dhaneswar
author_facet Singh, Swati
Banavath, Hemanth Naick
Godara, Priya
Naik, Biswajit
Srivastava, Varshita
Prusty, Dhaneswar
author_sort Singh, Swati
collection PubMed
description Omicron, a variant of concern (VOC) of SARS-CoV-2, emerged in South Africa in November 2021. Omicron has been continuously acquiring a series of new mutations, especially in the spike (S) protein that led to high infectivity and transmissibility. Peptides targeting the receptor-binding domain (RBD) of the spike protein by which omicron and its variants attach to the host receptor, angiotensin-converting enzyme (ACE2) can block the viral infection at the first step. This study aims to identify antiviral peptides from the Antiviral peptide database (AVPdb) and HIV-inhibitory peptide database (HIPdb) against the RBD of omicron by using a molecular docking approach. The lead RBD binder peptides obtained through molecular docking were screened for allergenicity and physicochemical criteria (isoelectric point (pI) and net charge) required for peptide-based drugs. The binding affinity of the best five peptide inhibitors with the RBD of omicron was validated further by molecular dynamics (MD) simulation. Our result introduces five antiviral peptides, including AVP1056, AVP1059, AVP1225, AVP1801, and HIP755, that may effectively hinder omicron-host interactions. It is worth mentioning that all the three major sub-variants of omicron, BA.1 (B.1.1.529.1), BA.2 (B.1.1.529.2), and BA.3 (B.1.1.529.3), exhibits conserved ACE-2 interacting residues. Hence, the screened antiviral peptides with similar affinity can also interrupt the RBD-mediated invasion of different major sub-variants of omicron. Altogether, these peptides can be considered in the peptide-based therapeutics development for omicron treatment after further experimentation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-022-03258-4.
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spelling pubmed-93428432022-08-02 Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach Singh, Swati Banavath, Hemanth Naick Godara, Priya Naik, Biswajit Srivastava, Varshita Prusty, Dhaneswar 3 Biotech Original Article Omicron, a variant of concern (VOC) of SARS-CoV-2, emerged in South Africa in November 2021. Omicron has been continuously acquiring a series of new mutations, especially in the spike (S) protein that led to high infectivity and transmissibility. Peptides targeting the receptor-binding domain (RBD) of the spike protein by which omicron and its variants attach to the host receptor, angiotensin-converting enzyme (ACE2) can block the viral infection at the first step. This study aims to identify antiviral peptides from the Antiviral peptide database (AVPdb) and HIV-inhibitory peptide database (HIPdb) against the RBD of omicron by using a molecular docking approach. The lead RBD binder peptides obtained through molecular docking were screened for allergenicity and physicochemical criteria (isoelectric point (pI) and net charge) required for peptide-based drugs. The binding affinity of the best five peptide inhibitors with the RBD of omicron was validated further by molecular dynamics (MD) simulation. Our result introduces five antiviral peptides, including AVP1056, AVP1059, AVP1225, AVP1801, and HIP755, that may effectively hinder omicron-host interactions. It is worth mentioning that all the three major sub-variants of omicron, BA.1 (B.1.1.529.1), BA.2 (B.1.1.529.2), and BA.3 (B.1.1.529.3), exhibits conserved ACE-2 interacting residues. Hence, the screened antiviral peptides with similar affinity can also interrupt the RBD-mediated invasion of different major sub-variants of omicron. Altogether, these peptides can be considered in the peptide-based therapeutics development for omicron treatment after further experimentation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-022-03258-4. Springer International Publishing 2022-08-01 2022-09 /pmc/articles/PMC9342843/ /pubmed/35923684 http://dx.doi.org/10.1007/s13205-022-03258-4 Text en © King Abdulaziz City for Science and Technology 2022
spellingShingle Original Article
Singh, Swati
Banavath, Hemanth Naick
Godara, Priya
Naik, Biswajit
Srivastava, Varshita
Prusty, Dhaneswar
Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach
title Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach
title_full Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach
title_fullStr Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach
title_full_unstemmed Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach
title_short Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach
title_sort identification of antiviral peptide inhibitors for receptor binding domain of sars-cov-2 omicron and its sub-variants: an in-silico approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342843/
https://www.ncbi.nlm.nih.gov/pubmed/35923684
http://dx.doi.org/10.1007/s13205-022-03258-4
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