Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection

Identification of catalytic residues plays a key role in understanding how enzymes work. Although numerous computational methods have been developed to predict catalytic residues and active sites, the prediction accuracy remains relatively low with high false positives. In this work, we developed a...

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Veröffentlicht in:	Molecular bioSystems 2013-01, Vol.9 (1), p.61-69
Hauptverfasser:	Gao, Yu-Fei, Li, Bi-Qing, Cai, Yu-Dong, Feng, Kai-Yan, Li, Zhan-Dong, Jiang, Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Catalytic Domain Chemical Phenomena Computational Biology - methods Conserved Sequence Databases, Protein Decision Trees Enzymes - chemistry Enzymes - metabolism Models, Chemical Protein Structure, Secondary Sequence Analysis, Protein Structure-Activity Relationship Support Vector Machine
Online-Zugang:	Volltext
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