Detecting Succinylation sites from protein sequences using ensemble support vector machine

Background Lysine succinylation is a new kind of post-translational modification which plays a key role in protein conformation regulation and cellular function control. To understand the mechanism of succinylation profoundly, it is necessary to identify succinylation sites in proteins accurately. H...

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Veröffentlicht in:	BMC bioinformatics Jg. 19; H. 1; S. 237 - 9
Hauptverfasser:	Ning, Qiao, Zhao, Xiaosa, Bao, Lingling, Ma, Zhiqiang, Zhao, Xiaowei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 25.06.2018 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Accuracy Algorithms Amino acid composition Amino acid sequencing Amino acids Bioinformatics Biomedical and Life Sciences Chromatography Composition Computational Biology - methods Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer applications Correlation coefficient Correlation coefficients Datasets Ensemble learning algorithm Genetic vectors Grey pseudo amino acid composition Information gain Learning algorithms Life Sciences Lysine Machine learning Microarrays Multiple features Physicochemical properties Post-translation Post-translational modifications Predict succinylation sites Predictions Protein structure Proteins Research Article Results and data Support Vector Machine - standards Support vector machines SVM System theory Ensemble learning algorithm SVM Information gain Predict succinylation sites Grey pseudo amino acid composition Multiple features
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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