Cargando…
A boosting approach for prediction of protein-RNA binding residues
BACKGROUND: RNA binding proteins play important roles in post-transcriptional RNA processing and transcriptional regulation. Distinguishing the RNA-binding residues in proteins is crucial for understanding how protein and RNA recognize each other and function together as a complex. RESULTS: We propo...
Autores principales: | Tang, Yongjun, Liu, Diwei, Wang, Zixiang, Wen, Ting, Deng, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773889/ https://www.ncbi.nlm.nih.gov/pubmed/29219069 http://dx.doi.org/10.1186/s12859-017-1879-2 |
Ejemplares similares
-
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
por: Fan, Chao, et al.
Publicado: (2016) -
Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties
por: Pan, Yuliang, et al.
Publicado: (2017) -
PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine
por: Deng, Lei, et al.
Publicado: (2018) -
PredPRBA: Prediction of Protein-RNA Binding Affinity Using Gradient Boosted Regression Trees
por: Deng, Lei, et al.
Publicado: (2019) -
XGBPRH: Prediction of Binding Hot Spots at Protein–RNA Interfaces Utilizing Extreme Gradient Boosting
por: Deng, Lei, et al.
Publicado: (2019)