Literature DB >> 19602529

ADAN: a database for prediction of protein-protein interaction of modular domains mediated by linear motifs.

J A Encinar1, G Fernandez-Ballester, I E Sánchez, E Hurtado-Gomez, F Stricher, P Beltrao, L Serrano.   

Abstract

MOTIVATION: Most of the structures and functions of proteome globular domains are yet unknown. We can use high-resolution structures from different modular domains in combination with automatic protein design algorithms to predict genome-wide potential interactions of a protein. ADAN database and related web tools are online resources for the predictive analysis of ligand-domain complexes. ADAN database is a collection of different modular protein domains (SH2, SH3, PDZ, WW, etc.). It contains 3505 entries with extensive structural and functional information available, manually integrated, curated and annotated with cross-references to other databases, biochemical and thermodynamical data, simplified coordinate files, sequence files and alignments. Prediadan, a subset of ADAN database, offers position-specific scoring matrices for protein-protein interactions, calculated by FoldX, and predictions of optimum ligands and putative binding partners. Users can also scan a query sequence against selected matrices, or improve a ligand-domain interaction. AVAILABILITY: ADAN is accessible at http://adan-embl.ibmc.umh.es/ or http://adan.crg.es/.

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Year:  2009        PMID: 19602529     DOI: 10.1093/bioinformatics/btp424

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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