Cargando…
pSuc-FFSEA: Predicting Lysine Succinylation Sites in Proteins Based on Feature Fusion and Stacking Ensemble Algorithm
Being a new type of widespread protein post-translational modifications discovered in recent years, succinylation plays a key role in protein conformational regulation and cellular function regulation. Numerous studies have shown that succinylation modifications are closely associated with the devel...
Autores principales: | Jia, Jianhua, Wu, Genqiang, Qiu, Wangren |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170990/ https://www.ncbi.nlm.nih.gov/pubmed/35686053 http://dx.doi.org/10.3389/fcell.2022.894874 |
Ejemplares similares
-
pSuc-EDBAM: Predicting lysine succinylation sites in proteins based on ensemble dense blocks and an attention module
por: Jia, Jianhua, et al.
Publicado: (2022) -
iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity
por: Xu, Yan, et al.
Publicado: (2015) -
Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites
por: Hasan, Md. Mehedi, et al.
Publicado: (2019) -
BOW-GBDT: A GBDT Classifier Combining With Artificial Neural Network for Identifying GPCR–Drug Interaction Based on Wordbook Learning From Sequences
por: Qiu, Wangren, et al.
Publicado: (2021) -
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method
por: Huang, Kai-Yao, et al.
Publicado: (2019)