Support Vector Machine model for hERG inhibitory activities based on the integrated hERG database using descriptor selection by NSGA-II

Assessing the hERG liability in the early stages of drug discovery programs is important. The recent increase of hERG-related information in public databases enabled various successful applications of machine learning techniques to predict hERG inhibition. However, most of these researches construct...

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Detalles Bibliográficos
Autores principales: Ogura, Keiji, Sato, Tomohiro, Yuki, Hitomi, Honma, Teruki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704061/
https://www.ncbi.nlm.nih.gov/pubmed/31434908
http://dx.doi.org/10.1038/s41598-019-47536-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704061/
https://www.ncbi.nlm.nih.gov/pubmed/31434908
http://dx.doi.org/10.1038/s41598-019-47536-3

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