3,254
Views
11
CrossRef citations to date
0
Altmetric
Research Articles

Cysteine focused covalent inhibitors against the main protease of SARS-CoV-2

, , ORCID Icon, , , , , & ORCID Icon show all
Pages 1639-1658 | Received 08 Jun 2020, Accepted 28 Sep 2020, Published online: 13 Oct 2020
 

Abstract

In viral replication and transcription, the main protease (Mpro) of SARS-CoV-2 plays an important role and appears to be a vital target for drug design. In Mpro, there is a Cys–His catalytic dyad, and ligands that interact with the Cys145 assumed to be an effective approach to inhibit the Mpro. In this study, approximately 1400 cysteine-focused ligands were screened to identify the best candidates that can act as potent inhibitors against Mpro. Our results show that the selected ligands strongly interact with the key Cys145 and His41 residues. Covalent docking was performed for the selected candidates containing the acrylonitrile group, which can form a covalent bond with Cys145. All atoms molecular dynamics (MD) simulation was performed on the selected four inhibitors including L1, L2, L3 and L4 to validate the docking interactions. Our results were also compared with a control ligand, α-ketoamide (11r). Principal component analysis on structural and energy data obtained from the MD trajectories shows that L1, L3, L4 and α-ketoamide (11r) have structural similarity with the apo-form of the Mpro. Quantitative structure-activity relationship method was employed for pattern recognition of the best ligands, which discloses that ligands containing acrylonitrile and amide warheads can show better performance. ADMET analysis displays that our selected candidates appear to be safer inhibitors. Our combined studies suggest that the best cysteine focused ligands can help to design an effective lead drug for COVID-19 treatment.

Communicated by Ramaswamy H. Sarma

Graphical Abstract

Acknowledgements

We are grateful to our donors who supported to build a computational platform (http://grc-bd.org/donate/). The authors like to acknowledge the World Academy of Science (TWAS) to purchase High-Performance Computer for performing molecular dynamics simulation. Authors like to thank Prof. Philip S. Low of Purdue University for providing access to use covalent docking in Schrödinger program.

Disclosure statement

No potential conflict of interest was reported by the authors.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.