Title
Functional annotation by identification of local surface similarities: a novel tool for structural genomics.
Abstract
Protein function is often dependent on subsets of solvent-exposed residues that may exist in a similar three-dimensional configuration in non homologous proteins thus having different order and/or spacing in the sequence. Hence, functional annotation by means of sequence or fold similarity is not adequate for such cases.We describe a method for the function-related annotation of protein structures by means of the detection of local structural similarity with a library of annotated functional sites. An automatic procedure was used to annotate the function of local surface regions. Next, we employed a sequence-independent algorithm to compare exhaustively these functional patches with a larger collection of protein surface cavities. After tuning and validating the algorithm on a dataset of well annotated structures, we applied it to a list of protein structures that are classified as being of unknown function in the Protein Data Bank. By this strategy, we were able to provide functional clues to proteins that do not show any significant sequence or global structural similarity with proteins in the current databases.This method is able to spot structural similarities associated to function-related similarities, independently on sequence or fold resemblance, therefore is a valuable tool for the functional analysis of uncharacterized proteins. Results are available at http://cbm.bio.uniroma2.it/surface/structuralGenomics.html.
Year
DOI
Venue
2005
10.1186/1471-2105-6-194
BMC Bioinformatics
Keywords
Field
DocType
bioinformatics,structural genomics,proteins,binding sites,structural similarity,microarrays,functional analysis,protein data bank,genomics,algorithms,computational biology,three dimensional,protein structure,internet
Annotation,Structural genomics,Biology,Protein superfamily,Genomics,Structural similarity,Bioinformatics,Computational biology,Protein Data Bank,DNA microarray,Protein structure
Journal
Volume
Issue
ISSN
6
1
1471-2105
Citations 
PageRank 
References 
8
0.78
12
Authors
4
Name
Order
Citations
PageRank
F Ferrè119019.97
Gabriele Ausiello230123.59
Andreas Zanzoni3848.02
Manuela Helmer-Citterich445633.41