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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Leibniz Research Centre for Working Environment and Human Factors
2023
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| Materias: | |
| 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 |