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| Content Provider | PubMed Central |
|---|---|
| Author | Jefferson, Emily R. Walsh, Thomas P. Roberts, Timothy J. Barton, Geoffrey J. |
| Copyright Year | 2006 |
| Abstract | SNAPPI-DB, a high performance database of Structures, iNterfaces and Alignments of Protein–Protein Interactions, and its associated Java Application Programming Interface (API) is described. SNAPPI-DB contains structural data, down to the level of atom co-ordinates, for each structure in the Protein Data Bank (PDB) together with associated data including SCOP, CATH, Pfam, SWISSPROT, InterPro, GO terms, Protein Quaternary Structures (PQS) and secondary structure information. Domain–domain interactions are stored for multiple domain definitions and are classified by their Superfamily/Family pair and interaction interface. Each set of classified domain–domain interactions has an associated multiple structure alignment for each partner. The API facilitates data access via PDB entries, domains and domain–domain interactions. Rapid development, fast database access and the ability to perform advanced queries without the requirement for complex SQL statements are provided via an object oriented database and the Java Data Objects (JDO) API. SNAPPI-DB contains many features which are not available in other databases of structural protein–protein interactions. It has been applied in three studies on the properties of protein–protein interactions and is currently being employed to train a protein–protein interaction predictor and a functional residue predictor. The database, API and manual are available for download at: . |
| Related Links | http://dx.doi.org/10.1093/nar/gkl836 |
| Starting Page | 580 |
| File Format | |
| ISSN | 03051048 |
| e-ISSN | 13624962 |
| Journal | Nucleic Acids Research |
| Issue Number | Database issue |
| Volume Number | 35 |
| Language | English |
| Publisher | Oxford University Press |
| Publisher Date | 2007-01-03 |
| Access Restriction | Open |
| Rights Holder | Oxford University Press |
| Subject Keyword | Genetics Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics |
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