Machine Learning Study of Metabolic Networks vs ChEMBL Data of Antibacterial Compounds

Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial death. However, antibiotic resistance and the emergence of multidrug-resistant bacteria increase interest in understanding metabolic network (MN) mutations and the interaction of AD vs MN. In this study, we e...

• Päätekijä: Diéguez Santana, Karel (author)
• Muut tekijät: Casañola Martin, Gerardo M (author), Torres Gutiérrez, Roldán (author), Rasulev, Bakhtiyor (author), R Green, James (author), González-Díaz, Humbert (author)
• Aineistotyyppi: article
• Julkaistu: 2022
• Aiheet: ChEMBL; antibacterial compounds; Complex networks; Information fusion; Machine learning; Multidrug-resistant; Perturbation theory.
• Linkit: https://doi.org/10.1021/acs.molpharmaceut.2c00029; http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/580