Nucleic Acids Res 32(Database issue): D449-D451
The Database of Interacting Proteins: 2004 update
Abstract
The Database of Interacting Proteins (http://dip.doe-mbi.ucla.edu) aims to integrate the diverse body of experimental evidence on protein–protein interactions into a single, easily accessible online database. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein–protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks.
ACKNOWLEDGEMENTS
We thank the NIH and DOE for support of DIP.
REFERENCES
References
- 1. Xenarios I., Rice,D.W., Salwinski,L., Baron,M.K., Marcotte,E.M. and Eisenberg,D. (2000) DIP: the Database of Interacting Proteins. Nucleic Acids Res., 28, 289–291.
- 2. Ito T., Chiba,T., Ozawa,R., Yoshida,M., Hattori,M. and Sakaki,Y. (2001) A comprehensive two-hybrid analysis to explore the yeast protein interactome. Proc. Natl Acad. Sci. USA, 98, 4569–4574.
- 3. Uetz P., Giot,L., Cagney,G., Mansfield,T.A., Judson,R.S., Knight,J.R., Lockshon,D., Narayan,V., Srinivasan,M., Pochart,P. et al. (2000) A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae. Nature, 403, 623–627. [[PubMed]
- 4. Gavin A.C., Bosche,M., Krause,R., Grandi,P., Marzioch,M., Bauer,A., Schultz,J., Rick,J.M., Michon,A.M., Cruciat,C.M. et al. (2002) Functional organization of the yeast proteome by systematic analysis of protein complexes. Nature, 415, 141–147. [[PubMed]
- 5. Ho Y., Gruhler,A., Heilbut,A., Bader,G.D., Moore,L., Adams,S.L., Millar,A., Taylor,P., Bennett,K., Boutilier,K. et al. (2002) Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry. Nature, 415, 180–183. [[PubMed]
- 6. Deane C.M., Salwinski,L., Xenarios,I. and Eisenberg,D. (2002) Protein interactions: two methods for assessment of the reliability of high throughput observations. Mol. Cell. Proteomics, 1, 349–356. [[PubMed]
- 7. Hermjakob H., Montecchi-Palazzi,L., Bader,G., Wojcik,J., Salwinski,L., Moore,S., Orchard,S., Sarkans,U., von Mering,C., Roechert,B. et al. (2004) The HUPO PSI molecular interaction format. A community standard for the representation of protein interaction data. Nat. Biotechnol., in press. [[PubMed]
- 8. Xenarios I., Salwinski,L., Duan,X.Q.J., Higney,P., Kim,S.M. and Eisenberg,D. (2002) DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions. Nucleic Acids Res., 30, 303–305.
- 9. Westbrook J., Feng,Z., Jain,S., Bhat,T.N., Thanki,N., Ravichandran,V., Gilliland,G.L., Bluhm,W., Weissig,H., Greer,D.S. et al. (2002) The Protein Data Bank: unifying the archive. Nucleic Acids Res., 30, 245–248.
- 10. Zhu H., Bilgin,M., Bangham,R., Hall,D., Casamayor,A., Bertone,P., Lan,N., Jansen,R., Bidlingmaier,S., Houfek,T. et al. (2001) Global analysis of protein activities using proteome chips. Science, 293, 2101–2105. [[PubMed]
- 11. Salwinski L. and Eisenberg,D. (2003) Computational methods of analysis of protein–protein interactions. Curr. Opin. Struct. Biol., 13, 377–382. [[PubMed]
- 12. Mrowka R., Patzak,A. and Herzel,H. (2001) Is there a bias in proteome research? Genome Res., 11, 1971–1973. [[PubMed]
- 13. von Mering C., Krause,R., Snel,B., Cornell,M., Oliver,S.G., Fields,S. and Bork,P. (2002) Comparative assessment of large-scale data sets of protein–protein interactions. Nature, 417, 399–403. [[PubMed]
- 14. Deng M., Mehta,S., Sun,F. and Chen,T. (2002) Inferring domain–domain interactions from protein–protein interactions. Genome Res., 12, 1540–1548.
- 15. Bader G.D., Betel,D. and Hogue,C.W. (2003) BIND: the Biomolecular Interaction Network Database. Nucleic Acids Res., 31, 248–250.
- 16. Zanzoni A., Montecchi-Palazzi,L., Quondam,M., Ausiello,G., Helmer-Citterich,M. and Cesareni,G. (2002) MINT: a Molecular INTeraction database. FEBS Lett., 513, 135–140. [[PubMed]
- 17. Duan X.J., Xenarios,I. and Eisenberg,D. (2002) Describing biological protein interactions in terms of protein states and state transitions: the LiveDIP database. Mol. Cell. Proteomics, 1, 104–116. [[PubMed]
