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

Bioinformatics. 2009 Sep 15;25(18):2418-24. doi: 10.1093/bioinformatics/btp424. Epub 2009 Jul 14.


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 or

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Amino Acid Motifs*
  • Binding Sites
  • Computational Biology / methods
  • Databases, Protein
  • Protein Interaction Mapping
  • Protein Structure, Tertiary
  • Proteins / chemistry*
  • Proteins / metabolism*
  • Sequence Analysis, Protein
  • Software*


  • Proteins