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Updated: Jun 21, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
Published on: January 26, 2024
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
1Instituto de Biologia Molecular y Celular, Edificio Torregaitan, Universidad Miguel Hernandez, Elche, Alicante, Spain.
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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