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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
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...
Autores principales: | Edache, Emmanuel Israel, Uzairu, Adamu, Mamza, Paul Andrew, Shallangwa, Gideon Adamu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
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 |
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