The LabelHash Server and Tools for substructure-based functional annotation

The LabelHash server and tools are designed for large-scale substructure comparison. The main use is to predict the function of unknown proteins. Given a set of (putative) functional residues, LabelHash finds all occurrences of matching substructures in the entire Protein Data Bank, along with a sta...

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Bibliographic Details
Published in:Bioinformatics 2011-08, Vol.27 (15), p.2161-2162
Main Authors: Moll, Mark, Bryant, Drew H., Kavraki, Lydia E.
Format: Article
Language:English
Subjects:
Algorithms
Amino Acid Motifs
Biological and medical sciences
Computational Biology - methods
Databases, Protein
Fundamental and applied biological sciences. Psychology
General aspects
Internet
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Molecular Sequence Annotation - methods
Proteins - metabolism
Structure-Activity Relationship
User-Computer Interface
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Summary:The LabelHash server and tools are designed for large-scale substructure comparison. The main use is to predict the function of unknown proteins. Given a set of (putative) functional residues, LabelHash finds all occurrences of matching substructures in the entire Protein Data Bank, along with a statistical significance estimate and known functional annotations for each match. The results can be downloaded for further analysis in any molecular viewer. For Chimera, there is a plugin to facilitate this process. Availability: The web site is free and open to all users with no login requirements at http://labelhash.kavrakilab.org Contact: mmoll@rice.edu Supplementary Information: Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btr343