In silico discovery of multi-targeting inhibitors for the COVID-19 treatment by molecular docking, molecular dynamics simulation studies, and ADMET predictions-Reference-Cited by-同舟云学术

In silico discovery of multi-targeting inhibitors for the COVID-19 treatment by molecular docking, molecular dynamics simulation studies, and ADMET predictions

Published:2022-07-06 Issue:5 Volume:33 Page:1645-1665
ISSN:1040-0400
Container-title:Structural Chemistry
language:en
Short-container-title:Struct Chem

Author:

Hasan Aso Hameed^ORCID,Hussen Narmin Hamaamin,Shakya Sonam,Jamalis Joazaizulfazli,Pratama Mohammad Rizki Fadhil,Chander Subhash,Kharkwal Harsha,Murugesan Sankaranarayanan

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s11224-022-01996-y.pdf

Reference97 articles.

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3. Zaib S, Rana N, Noor A, Khan I (2021) Machine intelligence techniques for the identification and diagnosis of COVID-19. Curr Med Chem 28(26):5268–5283. https://doi.org/10.2174/0929867328666210106143307

4. World Health Organization (2021) Coronavirus (COVID-19) Dashboard. Available on: https://covid19.who.int/

5. Chen J, Lu H (2021) New challenges to fighting COVID-19: virus variants, potential vaccines, and development of antivirals. Biosci Trends 15(2):126–128. https://doi.org/10.5582/bst.2021.01092

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