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svmPRAT: SVM-based Protein Residue Annotation Toolkit |
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| Authors: | Huzefa Rangwala Christopher Kauffman and George Karypis |
| Institution: | (1) Computer Science Department, George Mason University, Fairfax, VA, USA;(2) Bioinformatics Department, George Mason University, Fairfax, VA, USA;(3) Computer Science Department, University of Minnesota, Minneapolis, MN, USA |
| Abstract: | BackgroundOver the last decade several prediction methods have been developed for determining the structural and functional properties of individual protein residues using sequence and sequence-derived information. Most of these methods are based on support vector machines as they provide accurate and generalizable prediction models. |
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