Predicting toxicity properties through machine learning

It is currently known that the high power of a drug does not fully determine its efficacy. Several properties must also be considered, including absorption, distribution, metabolism, excretion and toxicity [8]. These are the ADME-Tox properties, which are fundamental in the discovery of new effectiv...

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Autores:
Borrero, Luz Adriana
Sanchez Guette, Lilibeth
Lopez, Enrique
Pineda, Omar
BUELVAS CASTRO, EDGARDO MANUEL
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7802
Acceso en línea:
https://hdl.handle.net/11323/7802
https://doi.org/10.1016/j.procs.2020.03.093
https://repositorio.cuc.edu.co/
Palabra clave:
Supervised
unsupervised learning machines
support vector machine (SVM)
artificial neural networks (ANN)
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International