Cargando…
Predicting beta-turns in proteins using support vector machines with fractional polynomials
BACKGROUND: β-turns are secondary structure type that have essential role in molecular recognition, protein folding, and stability. They are found to be the most common type of non-repetitive structures since 25% of amino acids in protein structures are situated on them. Their prediction is consider...
Autores principales: | Elbashir, Murtada Khalafallah, Wang, Jianxin, Wu, Fang-Xiang, Wang, Lusheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3908855/ https://www.ncbi.nlm.nih.gov/pubmed/24565438 http://dx.doi.org/10.1186/1477-5956-11-S1-S5 |
Ejemplares similares
-
Predicting β-Turns in Protein Using Kernel Logistic Regression
por: Elbashir, Murtada Khalafallah, et al.
Publicado: (2013) -
Prediction of fractional flow reserve with enhanced ant lion optimized support vector machine
por: Lu, Haoxuan, et al.
Publicado: (2023) -
Kazhdan-Lusztig polynomials and subsingular vectors
por: Dobrev, V K
Publicado: (1996) -
Improving the performance of β-turn prediction using predicted shape strings and a two-layer support vector machine model
por: Tang, Zehui, et al.
Publicado: (2011) -
Examining the BMI-mortality relationship using fractional polynomials
por: Wong, Edwin S, et al.
Publicado: (2011)