End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins

Systematically discovering protein-ligand interactions across the entire human and pathogen genomes is critical in chemical genomics, protein function prediction, drug discovery, and many other areas. However, more than 90% of gene families remain “dark”—i.e., their small-molecule ligands are undisc...

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Detalles Bibliográficos
Autores principales: Cai, Tian, Xie, Li, Zhang, Shuo, Chen, Muge, He, Di, Badkul, Amitesh, Liu, Yang, Namballa, Hari Krishna, Dorogan, Michael, Harding, Wayne W., Mura, Cameron, Bourne, Philip E., Xie, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886305/
https://www.ncbi.nlm.nih.gov/pubmed/36652496
http://dx.doi.org/10.1371/journal.pcbi.1010851

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886305/
https://www.ncbi.nlm.nih.gov/pubmed/36652496
http://dx.doi.org/10.1371/journal.pcbi.1010851

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