Cargando…
XGBPRH: Prediction of Binding Hot Spots at Protein–RNA Interfaces Utilizing Extreme Gradient Boosting
Hot spot residues at protein–RNA complexes are vitally important for investigating the underlying molecular recognition mechanism. Accurately identifying protein–RNA binding hot spots is critical for drug designing and protein engineering. Although some progress has been made by utilizing various av...
Autores principales: | Deng, Lei, Sui, Yuanchao, Zhang, Jingpu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471955/ https://www.ncbi.nlm.nih.gov/pubmed/30901953 http://dx.doi.org/10.3390/genes10030242 |
Ejemplares similares
-
Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting
por: Wang, Hao, et al.
Publicado: (2018) -
Prediction of hot spots in protein–DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting
por: Li, Ke, et al.
Publicado: (2020) -
A semi-supervised boosting SVM for predicting hot spots at protein-protein Interfaces
por: Xu, Bin, et al.
Publicado: (2012) -
HotSprint: database of computational hot spots in protein interfaces
por: Guney, Emre, et al.
Publicado: (2008) -
HotPoint: hot spot prediction server for protein interfaces
por: Tuncbag, Nurcan, et al.
Publicado: (2010)