EmbedDTI: Enhancing the Molecular Representations via Sequence Embedding and Graph Convolutional Network for the Prediction of Drug-Target Interaction

The identification of drug-target interaction (DTI) plays a key role in drug discovery and development. Benefitting from large-scale drug databases and verified DTI relationships, a lot of machine-learning methods have been developed to predict DTIs. However, due to the difficulty in extracting usef...

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Detalles Bibliográficos
Autores principales: Jin, Yuan, Lu, Jiarui, Shi, Runhan, Yang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8698792/
https://www.ncbi.nlm.nih.gov/pubmed/34944427
http://dx.doi.org/10.3390/biom11121783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8698792/
https://www.ncbi.nlm.nih.gov/pubmed/34944427
http://dx.doi.org/10.3390/biom11121783

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