Conference Review
iSPOT: a web tool for the analysis and recognition of protein domain specificity
A presentation for the ESF workshop ‘Proteomics: Focus on Protein Interactions’
Article first published online: 10 OCT 2001
DOI: 10.1002/cfg.104
Copyright © 2001 John Wiley & Sons, Ltd.
Additional Information
How to Cite
Brannetti, B., Zanzoni, A., Montecchi-Palazzi, L., Cesareni, G. and Helmer-Citterich, M. (2001), iSPOT: a web tool for the analysis and recognition of protein domain specificity. Comparative and Functional Genomics, 2: 314–318. doi: 10.1002/cfg.104
Publication History
- Issue published online: 10 OCT 2001
- Article first published online: 10 OCT 2001
- Manuscript Accepted: 27 JUL 2001
- Manuscript Received: 28 JUN 2001
Funded by
- EEC. Grant Number: QLR1-CT-2000-00127
- The CNR target project in Biotechnology
- Abstract
- Article
- References
- Cited By
Keywords:
- prediction of specificity;
- molecular recognition;
- protein domains;
- computational methods;
- web tools;
- homology modelling
Abstract
Methods that aim at predicting interaction partners are very likely to play an important role in the interpretation of genomic information. iSPOT (iSpecificity Prediction Of Target) is a web tool (accessible at http://cbm.bio.uniroma2.it/iSPOT) developed for the prediction of protein-protein interaction mediated by families of peptide recognition modules. iSPOT accesses a database of position specific residue-residue interaction frequencies for members of the SH3 and PDZ protein domain families. The software utilises this database to provide a score for any potential domain peptide interaction.
iSPOT: 1. evaluates the likelihood of the interaction between any of the peptides contained in an input protein and a list of domains of the two different families; 2. searches in the SWISS-PROT database for potential partners of a query domain; and 3. has access to a repository of all the domain/target peptide interaction data. Copyright © 2001 John Wiley & Sons, Ltd.

1532-6268/asset/cover.gif?v=1&s=83f2425dd7a3beba42173ff4176aeb965520570a)