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Prediction Model of Clearance by a Novel Quantitative Structure–Activity Relationship Approach, Combination DeepSnap-Deep Learning and Conventional Machine Learning

[Image: see text] Some targets predicted by machine learning (ML) in drug discovery remain a challenge because of poor prediction. In this study, a new prediction model was developed and rat clearance (CL) was selected as a target because it is difficult to predict. A classification model was constr...

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Detalles Bibliográficos
Autores principales: Mamada, Hideaki, Nomura, Yukihiro, Uesawa, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444299/
https://www.ncbi.nlm.nih.gov/pubmed/34549154
http://dx.doi.org/10.1021/acsomega.1c03689