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Comparative analysis of non structural protein 1 of SARS-COV2 with SARS-COV1 and MERS-COV: An in silico study
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Academic Article
research paper
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Covid-on-the-Web dataset
title
Comparative analysis of non structural protein 1 of SARS-COV2 with SARS-COV1 and MERS-COV: An in silico study
Creator
Chaudhuri, Ankur
source
BioRxiv
abstract
The recently emerged SARS-COV2 caused a major pandemic of coronavirus disease (COVID-19). The main goal of this study is to elucidate the structural conformations of non structural protein 1(nsp1), prediction of epitope sites and identification of important residues for targeted therapy against COVID-19. In this study, molecular modelling coupled with molecular dynamics simulations were performed to analyse the conformational change of SARS-COV1, SARS-COV2 and MERS-COV at molecular level. Free energy landscape was constructed by using the first (PC1) and second (PC2) principle components. From the sequence alignment it was observed when compared to SERS-COV1 28 mutations are present in SERS-COV2 nsp1 protein. Several B-cell and T-cell epitopes were identified by immunoinformatics study. The ΔG values for SARS-COV1, SARS-COV2 and MERS-COV nsp1 proteins were 4.44, 5.82 and 6.15 kJ/mol respectively. SARS-COV2 nsp1 protein binds with the interface region of the palm and finger domain of POLA1 by using hydrogen bonds and salt bridges interactions. The present study provided a comprehensive structural model of nsp1 by threading process. The MD simulation parameters indicated that all three nsp1 proteins were stable during the simulation run. These findings can be used to develop therapeutics specific against COVID-19. Highlights Structural elucidation at molecular level of nsp1 of SARS-COV1, SARS-COV2, and MERS-COV Identifications of epitopes by immunoinformatics approach SARS-COV2 nsp1 cover a large conformational space due to greater flexibility Molecular docking between SARS-COV2 nsp1 and POLA1 to identify important residues Structural insights of nsp1 could be used in drug design process against COVID-19 Graphical abstract
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2020-06-10
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10.1101/2020.06.09.142570
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biorxiv
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d45c34a6ce7096ab7ce814236f42326443e61f11
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https://doi.org/10.1101/2020.06.09.142570
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Comparative analysis of non structural protein 1 of SARS-COV2 with SARS-COV1 and MERS-COV: An in silico study
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bioRxiv
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covid:d45c34a6ce7096ab7ce814236f42326443e61f11#body_text
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named entity 'structural model'
named entity 'analyse'
named entity 'specific'
named entity 'kJ/mol'
named entity 'protein'
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