Novel QSAR Approach for a Regression Model of Clearance That Combines DeepSnap-Deep Learning and Conventional Machine Learning

[Image: see text] The toxicity, absorption, distribution, metabolism, and excretion properties of some targets are difficult to predict by quantitative structure–activity relationship analysis. Therefore, there is a need for a new prediction method that performs well for these targets. The aim of th...

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Detalles Bibliográficos
Autores principales: Mamada, Hideaki, Nomura, Yukihiro, Uesawa, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134387/
https://www.ncbi.nlm.nih.gov/pubmed/35647436
http://dx.doi.org/10.1021/acsomega.2c00261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134387/
https://www.ncbi.nlm.nih.gov/pubmed/35647436
http://dx.doi.org/10.1021/acsomega.2c00261

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