Accurate prediction of molecular targets using a self-supervised image representation learning framework

The clinical efficacy and safety of a drug is determined by its molecular targets in the human proteome. However, proteome-wide evaluation of all compounds in human, or even animal models, is challenging. In this study, we present an unsupervised pre-training deep learning framework, termed ImageMol...

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Detalles Bibliográficos
Autores principales: Zeng, Xiangxiang, Xiang, Hongxin, Yu, Linhui, Wang, Jianmin, Li, Kenli, Nussinov, Ruth, Cheng, Feixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996628/
https://www.ncbi.nlm.nih.gov/pubmed/35411337
http://dx.doi.org/10.21203/rs.3.rs-1477870/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996628/
https://www.ncbi.nlm.nih.gov/pubmed/35411337
http://dx.doi.org/10.21203/rs.3.rs-1477870/v1

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