Cargando…
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
Protein-protein interactions (PPIs) govern cellular pathways and processes, by significantly influencing the functional expression of proteins. Therefore, accurate identification of protein-protein interaction binding sites has become a key step in the functional analysis of proteins. However, since...
Autores principales: | Hou, Zilong, Yang, Yuning, Ma, Zhiqiang, Wong, Ka-chun, Li, Xiangtao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849350/ https://www.ncbi.nlm.nih.gov/pubmed/36653447 http://dx.doi.org/10.1038/s42003-023-04462-5 |
Ejemplares similares
-
Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework
por: Wang, Yansong, et al.
Publicado: (2022) -
An Ensemble Deep Learning based Predictor for Simultaneously Identifying Protein Ubiquitylation and SUMOylation Sites
por: He, Fei, et al.
Publicado: (2021) -
Prediction of protein–protein interaction sites by means of ensemble learning and weighted feature descriptor
por: Du, Xiuquan, et al.
Publicado: (2016) -
EnsembleSplice: ensemble deep learning model for splice site prediction
por: Akpokiro, Victor, et al.
Publicado: (2022) -
Extracting chemical–protein relations with ensembles of SVM and deep learning models
por: Peng, Yifan, et al.
Publicado: (2018)