A top-down approach to classify enzyme functional classes and sub-classes using random forest

Author:

Kumar Chetan,Choudhary Alok

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Reference29 articles.

1. Enzyme-Nomenclature, Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) (Academic Press, NY)[ http://www.chem.qmul.ac.uk/iubmb/enzyme ]

2. Shah HL: Predicting enzyme function from sequence: a systematic appraisal. Proc ISMB 1997, 5: 276-283.

3. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zheng Z, Miller W, Gapped BLAST and PSI-BLAST, et al.: a new generation of protein database search programs. Nucleic Acids Res 1987, 35: 3389-3402.

4. Wang X, Schroeder D, Dobbs D, Honaver V: Automated data-driven discovery of motif-based protein function classifiers. Inf Sci 2003, 155: 1-18. 10.1016/S0020-0255(03)00067-7

5. Umar S, Golan Y: Enzyme function prediction with interpretable models. Comput Syst Biol 2009, 541: 373-420. 10.1007/978-1-59745-243-4_17

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