Improving Compound–Protein Interaction Prediction by Self-Training with Augmenting Negative Samples

[Image: see text] Identifying compound-protein interactions (CPIs) is crucial for drug discovery. Since experimentally validating CPIs is often time-consuming and costly, computational approaches are expected to facilitate the process. Rapid growths of available CPI databases have accelerated the de...

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Detalles Bibliográficos
Autores principales: Koyama, Takuto, Matsumoto, Shigeyuki, Iwata, Hiroaki, Kojima, Ryosuke, Okuno, Yasushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10428206/
https://www.ncbi.nlm.nih.gov/pubmed/37460105
http://dx.doi.org/10.1021/acs.jcim.3c00269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10428206/
https://www.ncbi.nlm.nih.gov/pubmed/37460105
http://dx.doi.org/10.1021/acs.jcim.3c00269

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