Cargando…
MSA-Regularized Protein Sequence Transformer toward Predicting Genome-Wide Chemical-Protein Interactions: Application to GPCRome Deorphanization
[Image: see text] Small molecules play a critical role in modulating biological systems. Knowledge of chemical–protein interactions helps address fundamental and practical questions in biology and medicine. However, with the rapid emergence of newly sequenced genes, the endogenous or surrogate ligan...
Autores principales: | Cai, Tian, Lim, Hansaim, Abbu, Kyra Alyssa, Qiu, Yue, Nussinov, Ruth, Xie, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154251/ https://www.ncbi.nlm.nih.gov/pubmed/33757283 http://dx.doi.org/10.1021/acs.jcim.0c01285 |
Ejemplares similares
-
GPCRome-wide analysis of G-protein-coupling diversity using a computational biology approach
por: Matic, Marin, et al.
Publicado: (2023) -
HMI-PRED 2.0: a biologist-oriented web application for prediction of host–microbe protein–protein interaction by interface mimicry
por: Lim, Hansaim, et al.
Publicado: (2022) -
A-Prot: protein structure modeling using MSA transformer
por: Hong, Yiyu, et al.
Publicado: (2022) -
S-Pred: protein structural property prediction using MSA transformer
por: Hong, Yiyu, et al.
Publicado: (2022) -
Deorphanizing the human transmembrane genome: A landscape of uncharacterized membrane proteins
por: Babcock, Joseph J, et al.
Publicado: (2014)