Machine Learning-Based Virtual Screening of Antibacterial Agents against Methicillin-Susceptible and Resistant Staphylococcus aureus

The application of computer-aided drug discovery (CADD) approaches has enabled the discovery of new antimicrobial therapeutic agents in the past. The high prevalence of methicillin-resistantStaphylococcus aureus­(MRSA) strains promoted this pathogen to a high-priority pathogen for drug development....

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Veröffentlicht in:	Journal of chemical information and modeling 2024-03, Vol.64 (6), p.1932-1944
Hauptverfasser:	Fernandes, Philipe Oliveira, Dias, Anna Letícia Teotonio, dos Santos Júnior, Valtair Severino, Sá Magalhães Serafim, Mateus, Sousa, Yamara Viana, Monteiro, Gustavo Claro, Coutinho, Isabel Duarte, Valli, Marilia, Verzola, Marina Mol Sena Andrade, Ottoni, Flaviano Melo, Pádua, Rodrigo Maia de, Oda, Fernando Bombarda, dos Santos, André Gonzaga, Andricopulo, Adriano Defini, da Silva Bolzani, Vanderlan, Mota, Bruno Eduardo Fernandes, Alves, Ricardo José, de Oliveira, Renata Barbosa, Kronenberger, Thales, Maltarollo, Vinícius Gonçalves
Format:	Artikel
Sprache:	eng
Schlagworte:	Anti-Bacterial Agents - pharmacology Machine learning Machine Learning and Deep Learning Methicillin - pharmacology Methicillin-Resistant Staphylococcus aureus Microbial Sensitivity Tests Pathogens Pharmacology Staphylococcus aureus Workflow
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