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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile nagusia: Diéguez Santana, Karel (author)
Beste egile batzuk: Casañola Martin, Gerardo M (author), Torres Gutiérrez, Roldán (author), Rasulev, Bakhtiyor (author), R Green, James (author), González-Díaz, Humbert (author)
Formatua: article
Argitaratua: 2022
Gaiak:
ChEMBL; antibacterial compounds
Complex networks
Information fusion
Machine learning
Multidrug-resistant
Perturbation theory.
Sarrera elektronikoa:https://doi.org/10.1021/acs.molpharmaceut.2c00029
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/580
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Internet

https://doi.org/10.1021/acs.molpharmaceut.2c00029
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/580

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