Reciprocal perspective as a super learner improves drug-target interaction prediction (MUSDTI)

The identification of novel drug-target interactions (DTI) is critical to drug discovery and drug repurposing to address contemporary medical and public health challenges presented by emergent diseases. Historically, computational methods have framed DTI prediction as a binary classification problem...

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Detalles Bibliográficos
Autores principales: Dick, Kevin, Kyrollos, Daniel G., Cosoreanu, Eric D., Dooley, Joseph, Fryer, Joshua S., Gordon, Shaun M., Kharbanda, Nikhil, Klamrowski, Martin, LaCasse, Patrick N. L., Leung, Thomas F., Nasir, Muneeb A., Qiu, Chang, Robinson, Aisha S., Shao, Derek, Siromahov, Boyan R., Starlight, Evening, Tran, Christophe, Wang, Christopher, Yang, Yu-Kai, Green, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344797/
https://www.ncbi.nlm.nih.gov/pubmed/35918366
http://dx.doi.org/10.1038/s41598-022-16493-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344797/
https://www.ncbi.nlm.nih.gov/pubmed/35918366
http://dx.doi.org/10.1038/s41598-022-16493-9

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