Firestar-prediction of functionally important residues using structural templates and alignment reliability

Gonzalo López, Alfonso Valencia, Michael L. Tress

Research output: Contribution to journalArticlepeer-review

90 Scopus citations

Abstract

Here we present firestar, an expert system for predicting ligand-binding residues in protein structures. The server provides a method for extrapolating from the large inventory of functionally important residues organized in the FireDB database and adds information about the local conservation of potential-binding residues. The interface allows users to make queries by protein sequence or structure. The user can access pairwise and multiple alignments with structures that have relevant functionally important binding sites. The results are presented in a series of easy to read displays that allow users to compare binding residue conservation across homologous proteins. The binding site residues can also be viewed with molecular visualization tools. One feature of firestar is that it can be used to evaluate the biological relevance of small molecule ligands present in PDB structures. With the server it is easy to discern whether small molecule binding is conserved in homologous structures. We found this facility particularly useful during the recent assessment of CASP7 function prediction. Availability: http://firedb.bioinfo. cnio.es/Php/FireStar.php.

Original languageEnglish
Pages (from-to)W573-W577
JournalNucleic Acids Research
Volume35
Issue numberSUPPL.2
DOIs
StatePublished - Jul 2007
Externally publishedYes

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