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AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders

BACKGROUND: Drug–target interaction (DTI) plays a vital role in drug discovery. Identifying drug–target interactions related to wet-lab experiments are costly, laborious, and time-consuming. Therefore, computational methods to predict drug–target interactions are an essential task in the drug discov...

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Detalles Bibliográficos
Autores principales:	Sajadi, Seyedeh Zahra, Zare Chahooki, Mohammad Ali, Gharaghani, Sajjad, Abbasi, Karim
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8056558/ https://www.ncbi.nlm.nih.gov/pubmed/33879050 http://dx.doi.org/10.1186/s12859-021-04127-2

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