Name
Title | ||
|---|---|---|
ADAN: a database for prediction of protein-protein interaction of modular domains mediated by linear motifs. |
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1093/bioinformatics/btp424 | BIOINFORMATICS |
Keywords | Field | DocType |
protein protein interaction | Data mining,Protein–protein interaction,Protein domain,Short linear motif,Computer science,FoldX,PDZ domain,Protein design,Proteome,Bioinformatics,Modular design,Database | Journal |
Volume | Issue | ISSN |
25 | 18 | 1367-4803 |
Citations | PageRank | References |
7 | 0.57 | 20 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. A. Encinar | 1 | 7 | 0.91 |
| G. Fernandez-Ballester | 2 | 7 | 0.57 |
| Ignacio E. Sánchez | 3 | 32 | 2.10 |
| E. Hurtado-Gomez | 4 | 7 | 0.57 |
| Francois Stricher | 5 | 204 | 19.70 |
| Pedro Beltrao | 6 | 42 | 6.08 |
| Luis Serrano | 7 | 195 | 17.69 |