We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
ADAN: a database for prediction of protein-protein interaction of modular domains mediated by linear motifs.
- Authors
Encinar, J A; Fernandez-Ballester, G; Sánchez, I E; Hurtado-Gomez, E; Stricher, F; Beltrao, P; Serrano, L
- Abstract
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.
- Publication
Bioinformatics (Oxford, England), 2009, Vol 25, Issue 18, p2418
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btp424