Nature Methods
- 3, 175 - 177 (2006)
Published online: 17 February 2006; | doi:10.1038/nmeth856
Minimotif Miner: a tool for investigating protein functionSudha Balla1, Vishal Thapar1, Snigdha Verma1, ThaiBinh Luong1, Tanaz Faghri1, Chun-Hsi Huang1, Sanguthevar Rajasekaran1, Jacob J del Campo2, Jessica H Shinn2, William A Mohler2, Mark W Maciejewski3, Michael R Gryk3, Bryan Piccirillo4, Stanley R Schiller & Martin R Schiller3, 41
Department of Computer Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. 2
Departments of Genetics and Developmental Biology, University of Connecticut Health Center, 263 Farmington Ave., Farmington, Connecticut 06030, USA. 3
Department of Molecular, Microbial and Structural Biology, University of Connecticut Health Center, 263 Farmington Ave., Farmington, Connecticut 06030, USA. 4
Department of Neuroscience, University of Connecticut Health Center, 263 Farmington Ave., Farmington, Connecticut 06030, USA.
Correspondence should be addressed to Martin R Schiller schiller@nso.uchc.edu In addition to large domains, many short motifs mediate functional post-translational modification of proteins as well as protein-protein interactions and protein trafficking functions. We have constructed a motif database comprising 312 unique motifs and a web-based tool for identifying motifs in proteins. Functional motifs predicted by MnM can be ranked by several approaches, and we validated these scores by analyzing thousands of confirmed examples and by confirming prediction of previously unidentified 14-3-3 motifs in EFF-1.
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