PMF-CPI: assessing drug selectivity with a pretrained multi-functional model for compound–protein interactions

Compound–protein interactions (CPI) play significant roles in drug development. To avoid side effects, it is also crucial to evaluate drug selectivity when binding to different targets. However, most selectivity prediction models are constructed for specific targets with limited data. In this study,...

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Detalles Bibliográficos
Autores principales: Song, Nan, Dong, Ruihan, Pu, Yuqian, Wang, Ercheng, Xu, Junhai, Guo, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576287/
https://www.ncbi.nlm.nih.gov/pubmed/37838703
http://dx.doi.org/10.1186/s13321-023-00767-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576287/
https://www.ncbi.nlm.nih.gov/pubmed/37838703
http://dx.doi.org/10.1186/s13321-023-00767-z

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