Abstract

Parallel cascade selection molecular dynamics-based ligand binding-path sampling (LB-PaCS-MD) was combined with fragment molecular orbital (FMO) calculations to reveal the ligand path from an aqueous solution to the SARS-CoV-2 main protease (Mpro) active site and to customise a ligand-binding pocket suitable for delivering a potent inhibitor. Rubraxanthone exhibited mixed-inhibition antiviral activity against SARS-CoV-2 Mpro, relatively low cytotoxicity, and high cellular inhibition. However, the atomic inhibition mechanism remains ambiguous. LB-PaCS-MD/FMO is a hybrid ligand-binding evaluation method elucidating how rubraxanthone interacts with SARS-CoV-2 Mpro. In the first step, LB-PaCS-MD, which is regarded as a flexible docking, efficiently samples a set of ligand-binding pathways. After that, a reasonable docking pose of LB-PaCS-MD is evaluated by the FMO calculation to elucidate a set of protein–ligand interactions, enabling one to know the binding affinity of a specified ligand with respect to a target protein. A possible conformation was proposed for rubraxanthone binding to the SARS-CoV-2 Mpro active site, and allosteric inhibition was elucidated by combining blind docking with k-means clustering. The interaction profile, key binding residues, and considerable interaction were elucidated for rubraxanthone binding to both Mpro sites. Integrated LB-PaCS-MD/FMO provided a more reasonable complex structure for ligand binding at the SARS-CoV-2 Mpro active site, which is vital for discovering and designing antiviral drugs.

Details

Title
Promising SARS-CoV-2 main protease inhibitor ligand-binding modes evaluated using LB-PaCS-MD/FMO
Author
Hengphasatporn, Kowit 1 ; Harada, Ryuhei 1 ; Wilasluck, Patcharin 2 ; Deetanya, Peerapon 2 ; Sukandar, Edwin R. 3 ; Chavasiri, Warinthorn 3 ; Suroengrit, Aphinya 4 ; Boonyasuppayakorn, Siwaporn 4 ; Rungrotmongkol, Thanyada 5 ; Wangkanont, Kittikhun 2 ; Shigeta, Yasuteru 1 

 University of Tsukuba, Center for Computational Sciences, Tsukuba, Japan (GRID:grid.20515.33) (ISNI:0000 0001 2369 4728) 
 Chulalongkorn University, Center of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Faculty of Science, Bangkok, Thailand (GRID:grid.7922.e) (ISNI:0000 0001 0244 7875); Chulalongkorn University, Center of Excellence for Molecular Crop, Department of Biochemistry, Faculty of Science, Bangkok, Thailand (GRID:grid.7922.e) (ISNI:0000 0001 0244 7875) 
 Chulalongkorn University, Center of Excellence in Natural Products Chemistry, Department of Chemistry, Faculty of Science, Bangkok, Thailand (GRID:grid.7922.e) (ISNI:0000 0001 0244 7875) 
 Chulalongkorn University, Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Bangkok, Thailand (GRID:grid.7922.e) (ISNI:0000 0001 0244 7875) 
 Chulalongkorn University, Program in Bioinformatics and Computational Biology, Graduate School, Bangkok, Thailand (GRID:grid.7922.e) (ISNI:0000 0001 0244 7875); Chulalongkorn University, Center of Excellence in Structural and Computational Biology, Department of Biochemistry, Faculty of Science, Bangkok, Thailand (GRID:grid.7922.e) (ISNI:0000 0001 0244 7875) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2728849941
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.