Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26413
Title: Structural dynamics of the β-coronavirus M<sup>pro</sup> protease ligand binding sites
Authors: Cho, E
Rosa, M
Anjum, R
Mehmood, S
Soban, M
Mujtaba, M
Bux, K
Dantu, S
Pandini, A
Yin, J
Ma, H
Ramanathan, A
Islam, B
Mey, ASJS
Bhowmik, D
Haider, S
Issue Date: 9-Apr-2021
Publisher: Cold Spring Harbor Laboratory
Citation: Cho, E. et al. (2021) 'Structural dynamics of the β-coronavirus M<sup>pro</sup> protease ligand binding sites', BiorXiv, Preprint, pp. 1 - 42. doi: 10.1101/2021.03.31.437918. (This article is a preprint and has not been certified by peer review).
Abstract: β-coronaviruses alone have been responsible for three major global outbreaks in the 21st century. The current crisis has led to an urgent requirement to develop therapeutics. Even though a number of vaccines are available, alternative strategies targeting essential viral components are required as a back-up against the emergence of lethal viral variants. One such target is the main protease (Mpro) that plays an indispensible role in viral replication. The availability of over 270 Mpro X-ray structures in complex with inhibitors provides unique insights into ligand-protein interactions. Herein, we provide a comprehensive comparison of all non-redundant ligand-binding sites available for SARS-CoV2, SARS-CoV and MERS-CoV Mpro. Extensive adaptive sampling has been used to explore conformational dynamics employing convolutional variational auto encoder-based deep learning, and investigates structural conservation of the ligand binding sites using Markov state models across β-coronavirus homologs. Our results indicate that not all ligand-binding sites are dynamically conserved despite high sequence and structural conservation across β-coronavirus homologs. This highlights the complexity in targeting all three Mpro enzymes with a single pan inhibitor.
Description: This article is a preprint and has not been certified by peer review. It was eventually published online on 14 June 2021 by American Chemical Society (ACS Publications) as: Cho, E. et al. (2021) 'Dynamic Profiling of β-Coronavirus 3CL Mpro Protease Ligand-Binding Sites', Journal of Chemical Information and Modeling, 61 (6), pp. 3058 - 3073. doi: 10.1021/acs.jcim.1c00449.
Data Availability Statement: The trajectories of Mpro simulations and models of the metastable states can be obtained from the corresponding author. Jupyter-notebooks to generate Markov State Models can be downloaded from 10.6084/m9.figshare.14343725
bioRxiv posts many COVID19-related papers. A reminder: they have not been formally peer-reviewed and should not guide health-related behavior or be reported in the press as conclusive.
URI: https://bura.brunel.ac.uk/handle/2438/26413
DOI: https://doi.org/10.1101/2021.03.31.437918
Other Identifiers: ORCID iDs: Sarath Dantu https://orcid.org/0000-0003-2019-5311; Barira Islam https://orcid.org/0000-0001-5882-6903; Antonia S J S Mey https://orcid.org/0000-0001-7512-5252; Debsindhu Bhowmik https://orcid.org/0000-0001-7770-9091; Shozeb Haider https://orcid.org/0000-0003-2650-2925.
Appears in Collections:Dept of Computer Science Research Papers

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