Somboon, Tuanjai and Mahalapbutr, Panupong and Sanachai, Kamonpan and Maitarad, Phornphimon and Lee, Vannajan Sanghiran and Hannongbua, Supot and Rungrotmongkol, Thanyada (2021) Computational study on peptidomimetic inhibitors against SARS-CoV-2 main protease. Journal of Molecular Liquids, 322. ISSN 0167-7322, DOI https://doi.org/10.1016/j.molliq.2020.114999.
Full text not available from this repository.Abstract
The emergence outbreak caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has received significant attention on the global risks. Due to itscrucial role in viral replication, the main protease 3CL(pro) is an important target for drug discovery and development to combat COVID-19. In this work, the structural and dynamic behaviors as well as binding efficiency of the four peptidomimetic inhibitors (N3, 11a, 13b, and 14b) recently co-crystalized with SARS-CoV-2 3CL(pro) were studied and compared using all-atom molecular dynamics (MD) simulations and solvated interaction energy-based binding free energy calculations. The per-residue decomposition free energy results suggested that the key residues involved in inhibitors binding were H41, M49, L141-C145, H163-E166, P168, and Q189-T190 in the domains I and II. The van der Waals interaction yielded the main energy contribution stabilizing all the focused inhibitors. Besides, their hydrogen bond formations with F140, G143, C145, H164, E166, and Q189 residues in the substrate-binding pocket were also essential for strengthening the molecular complexation. The predicted binding affinity of the four peptidomimetic inhibitors agreed with the reported experimental data, and the 13b showed the most efficient binding to SARS-CoV-2 3CL(pro). From rational drug design strategies based on 13b, the polar moieties (e.g., benzamide) and the bulky N-terminal protecting groups (e.g, thiazole) should be introduced to P1' and P4 sites in order to enhance H-bonds and hydrophobic interactions, respectively. We hope that the obtained structural and energetic information could be beneficial for developing novel SARS-CoV-2 3CL(pro) inhibitors with higher inhibitory potency to combat COVID-19. (C) 2020 Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Funders: | Second Century Fund (C2F), Chulalongkorn University (CU), NSTDA Supercomputer Center (ThaiSC) |
| Uncontrolled Keywords: | COVID-19; SARS-CoV-2 3CL(pro); MD simulations; Peptidomimetic inhibitors |
| Subjects: | Q Science > QC Physics Q Science > QD Chemistry |
| Divisions: | Faculty of Science > Department of Chemistry |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 23 Mar 2022 08:31 |
| Last Modified: | 30 Mar 2022 08:06 |
| URI: | http://eprints.um.edu.my/id/eprint/28636 |
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