Cargando…
Prediction of hot spots in protein–DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting
BACKGROUND: Identification of hot spots in protein-DNA interfaces provides crucial information for the research on protein-DNA interaction and drug design. As experimental methods for determining hot spots are time-consuming, labor-intensive and expensive, there is a need for developing reliable com...
Autores principales: | Li, Ke, Zhang, Sijia, Yan, Di, Bin, Yannan, Xia, Junfeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495874/ https://www.ncbi.nlm.nih.gov/pubmed/32938395 http://dx.doi.org/10.1186/s12859-020-03683-3 |
Ejemplares similares
-
Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting
por: Wang, Hao, et al.
Publicado: (2018) -
XGBPRH: Prediction of Binding Hot Spots at Protein–RNA Interfaces Utilizing Extreme Gradient Boosting
por: Deng, Lei, et al.
Publicado: (2019) -
A semi-supervised boosting SVM for predicting hot spots at protein-protein Interfaces
por: Xu, Bin, et al.
Publicado: (2012) -
An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties
por: Zhang, Sijia, et al.
Publicado: (2021) -
HotSprint: database of computational hot spots in protein interfaces
por: Guney, Emre, et al.
Publicado: (2008)