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Structural dynamics of the β-coronavirus Mpro protease ligand binding sites
Eunice Cho; Margarida Rosa; Ruhi Anjum; Saman Mehmood; Mariya Soban; Moniza Mujtaba; Khair Bux; Sarath Chandra Dantu; Alessandro Pandini; Junqi Yin; Heng Ma; Arvind Ramanathan; Barira Islam; Antonia Mey; DEBSINDHU BHOWMIK; Shozeb Haider.
Affiliation
  • Eunice Cho; University College London
  • Margarida Rosa; University College London
  • Ruhi Anjum; Aligarh Muslim University
  • Saman Mehmood; Aligarh Muslim University
  • Mariya Soban; Aligarh Muslim University
  • Moniza Mujtaba; Herricks High School
  • Khair Bux; University of Karachi
  • Sarath Chandra Dantu; Brunel University London
  • Alessandro Pandini; Brunel University London
  • Junqi Yin; Oak Ridge National Laboratory
  • Heng Ma; Argonne National Laboratory
  • Arvind Ramanathan; Argonne National Laboratory
  • Barira Islam; University of Huddersfield
  • Antonia Mey; University of Edinburgh
  • DEBSINDHU BHOWMIK; Oak Ridge National Laboratory
  • Shozeb Haider; University College London School of Pharmacy
Preprint in En | PREPRINT-BIORXIV | ID: ppbiorxiv-437918
ABSTRACT
{beta}-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 {beta}-coronavirus homologs. Our results indicate that not all ligand-binding sites are dynamically conserved despite high sequence and structural conservation across {beta}-coronavirus homologs. This highlights the complexity in targeting all three Mpro enzymes with a single pan inhibitor.
License
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Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Language: En Year: 2021 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Language: En Year: 2021 Document type: Preprint