Generative deep learning enables the discovery of a potent and selective RIPK1 inhibitor

The retrieval of hit/lead compounds with novel scaffolds during early drug development is an important but challenging task. Various generative models have been proposed to create drug-like molecules. However, the capacity of these generative models to design wet-lab-validated and target-specific mo...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yueshan, Zhang, Liting, Wang, Yifei, Zou, Jun, Yang, Ruicheng, Luo, Xinling, Wu, Chengyong, Yang, Wei, Tian, Chenyu, Xu, Haixing, Wang, Falu, Yang, Xin, Li, Linli, Yang, Shengyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653409/
https://www.ncbi.nlm.nih.gov/pubmed/36371441
http://dx.doi.org/10.1038/s41467-022-34692-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653409/
https://www.ncbi.nlm.nih.gov/pubmed/36371441
http://dx.doi.org/10.1038/s41467-022-34692-w

Ejemplares similares