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Nucleic Acids Research 2005 33(Web Server Issue):W133-W137; doi:10.1093/nar/gki499
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© The Author 2005. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oupjournals.org


Article

pdbFun: mass selection and fast comparison of annotated PDB residues

Gabriele Ausiello*, Andreas Zanzoni, Daniele Peluso, Allegra Via and Manuela Helmer-Citterich

Centre for Molecular Bioinformatics, Department of Biology, University of Rome Tor Vergata Via della Ricerca Scientifica, 00133 Rome, Italy

*To whom correspondence should be addressed. Tel: +39 06 72594314; Fax: +39 06 72594314; Email: gabriele{at}cbm.bio.uniroma2.it

Received February 14, 2005. Accepted April 28, 2005.

pdbFun (http://pdbfun.uniroma2.it) is a web server for structural and functional analysis of proteins at the residue level. pdbFun gives fast access to the whole Protein Data Bank (PDB) organized as a database of annotated residues. The available data (features) range from solvent exposure to ligand binding ability, location in a protein cavity, secondary structure, residue type, sequence functional pattern, protein domain and catalytic activity. Users can select any residue subset (even including any number of PDB structures) by combining the available features. Selections can be used as probe and target in multiple structure comparison searches. For example a search could involve, as a query, all solvent-exposed, hydrophylic residues that are not in alpha-helices and are involved in nucleotide binding. Possible examples of targets are represented by another selection, a single structure or a dataset composed of many structures. The output is a list of aligned structural matches offered in tabular and also graphical format.


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