Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Bioinformatics. 2009 Sep 15;25(18):2418-24. doi: 10.1093/bioinformatics/btp424. Epub 2009 Jul 14.

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

Author information

  • 1Instituto de Biologia Molecular y Celular, Edificio Torregaitan, Universidad Miguel Hernandez, Elche, Alicante, Spain.

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/.

PMID:
19602529
[PubMed - indexed for MEDLINE]
Free full text
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for HighWire
    Loading ...
    Write to the Help Desk