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Partially-supervised protein subclass discovery with simultaneous annotation of functional residues |
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| Authors: | Benjamin Georgi Jörg Schultz Alexander Schliep |
| Affiliation: | 1. Max Planck Institute for Molecular Genetics, Dept. of Computational Molecular Biology, Ihnestrasse 73, 14195, Berlin, Germany 4. Department of Genetics, University of Pennsylvania, 528 CRB, 415 Curie Blvd PA, 19104, Philadelphia, USA 2. Biozentrum, Dept. of Bioinformatics, Universit?t Würzburg, 97074, Würzburg, Germany 3. Dept. of Computer Science and BioMaPS Institute for Quantitative Biology, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA |
| Abstract: | BackgroundThe study of functional subfamilies of protein domain families and the identification of the residues which determine substrate specificity is an important question in the analysis of protein domains. One way to address this question is the use of clustering methods for protein sequence data and approaches to predict functional residues based on such clusterings. The locations of putative functional residues in known protein structures provide insights into how different substrate specificities are reflected on the protein structure level. |
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