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

BACKGROUND: In seek of potent and non-toxic iminoguanidine derivatives formerly assessed as active Pseudomonas aeruginosa inhibitors, a combined mathematical approach of quantitative structure-activity relationship (QSAR), homology modeling, docking simulation, ADMET, and molecular dynamics simulati...

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Detalles Bibliográficos
Autores principales: Edache, Emmanuel Israel, Uzairu, Adamu, Mamza, Paul Andrew, Shallangwa, Gideon Adamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205150/
https://www.ncbi.nlm.nih.gov/pubmed/35730025
http://dx.doi.org/10.1186/s43141-022-00362-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205150/
https://www.ncbi.nlm.nih.gov/pubmed/35730025
http://dx.doi.org/10.1186/s43141-022-00362-z

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