Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56010
Title: Computational insights into the binding of pimodivir to the mutated PB2 subunit of the influenza A virus
Contributor(s): Arba, Muhammad (author); Ningsih, Aprilia Surya (author); Bande, La Ode Santiaji (author); Wahyudi, Setyanto Tri (author); Bui-Linh, Candice (author); Wu, Chun (author); Karton, Amir  (author)orcid 
Publication Date: 2023-07-14
Early Online Version: 2023-05-14
DOI: 10.1080/08927022.2023.2210690
Handle Link: https://hdl.handle.net/1959.11/56010
Abstract: 

Influenza A virus (IAV) is reported to develop Pimodivir resistance because of multiple mutations within the Polymerase basic 2 protein (PB2) of IAV. The lack of a high-resolution structure of these PB2 mutants complexed with Pimodivir hinders efforts to understand the drug resistance. Here we decipher the binding differences of Pimodivir in the wild-type and mutant systems Q306H, S324I, S324N, S324R, F404Y, and N510 T of IVA PB2 using homology modelling, molecular dynamics, molecular docking, and density functional theory simulations. The key residues responsible for Pimodivir binding were identified as Glu361, Arg355, Arg332, His357, and Phe323. Those mutations, mainly N510 T, result in significant conformational changes of Pimodivir in the PB2 active site. As a result, the affinity of Pimodivir is significantly reduced in the N510 T system. The mutation effects are less pronounced in the other mutant systems. Dynamic cross-correlation matrix (DCCM) analyses suggest that the singlepoint mutation N510 T produces an allosteric effect on the ligand-binding domain, thus reducing ligand-binding affinity. The present study reveals how a single-point mutation modulates the Pimodivir binding in IAV PB2, which provides important insights into designing new Pimodivir analogues with better binding affinities.

Publication Type: Journal Article
Source of Publication: Molecular Simulation, 49(10), p. 1031-1043
Publisher: Taylor & Francis
Place of Publication: United Kingdom
ISSN: 1029-0435
0892-7022
Fields of Research (FoR) 2020: 340701 Computational chemistry
Socio-Economic Objective (SEO) 2020: 280120 Expanding knowledge in the physical sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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