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

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...

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Bibliografski detalji
Glavni autor: Diéguez Santana, Karel (author)
Daljnji autori: Casañola Martin, Gerardo M (author), Torres Gutiérrez, Roldán (author), Rasulev, Bakhtiyor (author), R Green, James (author), González-Díaz, Humbert (author)
Format: article
Izdano: 2022
Teme:
ChEMBL; antibacterial compounds
Complex networks
Information fusion
Machine learning
Multidrug-resistant
Perturbation theory.
Online pristup:https://doi.org/10.1021/acs.molpharmaceut.2c00029
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/580
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https://doi.org/10.1021/acs.molpharmaceut.2c00029
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/580

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