Prediction of Adverse Drug Reaction Linked to Protein Targets Using Network-Based Information and Machine Learning

Drug discovery attrition rates, particularly at advanced clinical trial stages, are high because of unexpected adverse drug reactions (ADR) elicited by novel drug candidates. Predicting undesirable ADRs produced by the modulation of certain protein targets would contribute to developing safer drugs,...

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Detalles Bibliográficos
Autores principales: Galletti, Cristiano, Aguirre-Plans, Joaquim, Oliva, Baldo, Fernandez-Fuentes, Narcis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580901/
https://www.ncbi.nlm.nih.gov/pubmed/36304303
http://dx.doi.org/10.3389/fbinf.2022.906644

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580901/
https://www.ncbi.nlm.nih.gov/pubmed/36304303
http://dx.doi.org/10.3389/fbinf.2022.906644

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