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Targeting the SARS-CoV-2 Main Protease: in Silico Study Contributed to Exploring Potential Natural Compounds as Candidate Inhibitors
Journal of Computational Biophysics & Chemistry ; : 1-20, 2022.
Article in English | Academic Search Complete | ID: covidwho-1923323
ABSTRACT
The SARS-CoV-2 main protease (Mpro) is one of the essential therapeutic keys of the COVID-19, which ensures the replication of the virus in the host cells, causing tissue damage, for this reason, we accelerate the research of potential natural compounds that could inhibit this enzyme or used as a scaffold to generate a series of optimized and potent inhibitors. In silico study was performed. This study was started with the generation and validation of a structure-based pharmacophore hypothesis that is used to screen a chemical library containing 99,049 natural compounds extracted, filtered, and cleaned from the Chinese universal natural products database (UNPD), the screening process using the pharmacophore hypothesis and the molecular docking yielded 15 hits. These hits were ranked depending on their binding ΔG, as a result, the two compounds UNPD90246 and UNPD221225 exhibited higher binding affinity to the catalytic cavity of the Mpro interacting with important amino acids which play a crucial role in the enzyme catalysis, on the other hand, the two complexes UNPD90246/5R82 and UNPD221225/5R82 subjected to the molecular dynamic simulation show very good stability along the trajectory of the simulation as revealed by the calculated RMSD, RMSF, rGyr, SASA as well as the RMSF of the protein and the potential energy. In addition, the in silico evaluation of some drug-like and pharmacokinetic (ADMET) properties, revealed in general satisfactory prediction results for almost all compounds, however, some compounds require optimization steps to improve their weakness, regarding pharmacokinetic properties such as metabolism and toxicity. [ FROM AUTHOR] Copyright of Journal of Computational Biophysics & Chemistry is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Language: English Journal: Journal of Computational Biophysics & Chemistry Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Language: English Journal: Journal of Computational Biophysics & Chemistry Year: 2022 Document Type: Article