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QSAR, homology modeling, and docking simulation on SARS-CoV-2 and pseudomonas aeruginosa inhibitors, ADMET, and molecular dynamic simulations to find a possible oral lead candidate

Crossref DOI link: https://doi.org/10.1186/s43141-022-00362-z

Published Print: 2022-12

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Edache, Emmanuel Israel https://orcid.org/0000-0002-5485-0583
Uzairu, Adamu

Mamza, Paul Andrew

Shallangwa, Gideon Adamu
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Text and Data Mining valid from 2022-12-01

Version of Record valid from 2022-06-17
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This article is maintained by: Elsevier

Article Title: QSAR, homology modeling, and docking simulation on SARS-CoV-2 and pseudomonas aeruginosa inhibitors, ADMET, and molecular dynamic simulations to find a possible oral lead candidate

Journal Title: Journal of Genetic Engineering and Biotechnology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s43141-022-00362-z

Content Type: article

Copyright: © 2022 The Authors. Academy of Scientific Research and Technology. Published by Elsevier BV.

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