Machine learning approaches to study the structure-activity relationships of LpxC inhibitors

Antimicrobial resistance (AMR) has emerged as one of the global threats to human health in the 21st century. Drug discovery of inhibitors against novel targets rather than conventional bacterial targets has been considered an inevitable strategy for the growing threat of AMR infections. In this stud...

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Detalles Bibliográficos
Autores principales: Yu, Tianshi, Chong, Li Chuin, Nantasenamat, Chanin, Anuwongcharoen, Nuttapat, Piacham, Theeraphon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Leibniz Research Centre for Working Environment and Human Factors 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630528/
https://www.ncbi.nlm.nih.gov/pubmed/38023567
http://dx.doi.org/10.17179/excli2023-6356

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630528/
https://www.ncbi.nlm.nih.gov/pubmed/38023567
http://dx.doi.org/10.17179/excli2023-6356

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