A Deep Learning-Based Quantitative Structure–Activity Relationship System Construct Prediction Model of Agonist and Antagonist with High Performance

Molecular design and evaluation for drug development and chemical safety assessment have been advanced by quantitative structure–activity relationship (QSAR) using artificial intelligence techniques, such as deep learning (DL). Previously, we have reported the high performance of prediction models m...

Descripción completa

Detalles Bibliográficos
Autores principales: Matsuzaka, Yasunari, Uesawa, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877122/
https://www.ncbi.nlm.nih.gov/pubmed/35216254
http://dx.doi.org/10.3390/ijms23042141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877122/
https://www.ncbi.nlm.nih.gov/pubmed/35216254
http://dx.doi.org/10.3390/ijms23042141

Ejemplares similares