Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure–Activity Relationship System

In silico approaches have been studied intensively to assess the toxicological risk of various chemical compounds as alternatives to traditional in vivo animal tests. Among these approaches, quantitative structure–activity relationship (QSAR) analysis has the advantages that it is able to construct...

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Detalles Bibliográficos
Autores principales: Matsuzaka, Yasunari, Totoki, Shin, Handa, Kentaro, Shiota, Tetsuyoshi, Kurosaki, Kota, Uesawa, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509615/
https://www.ncbi.nlm.nih.gov/pubmed/34639159
http://dx.doi.org/10.3390/ijms221910821

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509615/
https://www.ncbi.nlm.nih.gov/pubmed/34639159
http://dx.doi.org/10.3390/ijms221910821

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