DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

Identification of drug-target interactions (DTIs) plays a key role in drug discovery. The high cost and labor-intensive nature of in vitro and in vivo experiments have highlighted the importance of in silico-based DTI prediction approaches. In several computational models, conventional protein descr...

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Detalles Bibliográficos
Autores principales: Lee, Ingoo, Keum, Jongsoo, Nam, Hojung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594651/
https://www.ncbi.nlm.nih.gov/pubmed/31199797
http://dx.doi.org/10.1371/journal.pcbi.1007129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594651/
https://www.ncbi.nlm.nih.gov/pubmed/31199797
http://dx.doi.org/10.1371/journal.pcbi.1007129

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