The HUPO PSI's Molecular Interaction format—a community standard for the representation of protein interaction data

@article{Hermjakob2004TheHP,
  title={The HUPO PSI's Molecular Interaction format—a community standard for the representation of protein interaction data},
  author={Henning Hermjakob and Luisa Montecchi-Palazzi and Gary Bader and J{\'e}r{\^o}me Wojcik and Lukasz Salwinski and Arnaud Ceol and Sm Moore and Sandra Orchard and Ugis Sarkans and Christian von Mering and Bernd Roechert and Sylvain Poux and Eva Jung and Henning Mersch and Paul J. Kersey and Michael Lappe and Yixue Li and R. Zeng and Debashis Rana and Macha Nikolski and Holger Husi and Christine Brun and K Shanker and Seth G N Grant and Chris Sander and Peer Bork and Weimin Zhu and Akhilesh Pandey and Alvis Brazma and Bernard Jacq and Marc Vidal and David Sherman and Pierre Legrain and Gianni Cesareni and Ioannis Xenarios and David Eisenberg and Boris Steipe and Chris Hogue and Rolf Apweiler},
  journal={Nature Biotechnology},
  year={2004},
  volume={22},
  pages={177-183}
}
  • Henning Hermjakob, Luisa Montecchi-Palazzi, +36 authors Rolf Apweiler
  • Published in Nature Biotechnology 2004
  • DOI:10.1038/nbt926
A major goal of proteomics is the complete description of the protein interaction network underlying cell physiology. A large number of small scale and, more recently, large-scale experiments have contributed to expanding our understanding of the nature of the interaction network. However, the necessary data integration across experiments is currently hampered by the fragmentation of publicly available protein interaction data, which exists in different formats in databases, on authors… CONTINUE READING

Figures and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 391 CITATIONS, ESTIMATED 93% COVERAGE

Protein-to-protein interactions: Technologies, databases, and algorithms

VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

xiNET: Cross-link Network Maps With Residue Resolution*

  • Molecular & cellular proteomics : MCP
  • 2015
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Approaches in Integrative Bioinformatics

  • Springer Berlin Heidelberg
  • 2014
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

The mzQuantML Data Standard for Mass Spectrometry–based Quantitative Studies in Proteomics*

  • Molecular & cellular proteomics : MCP
  • 2013
VIEW 4 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Enhancing systems biology models through semantic data integration

VIEW 7 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2001
2019

CITATION STATISTICS

  • 41 Highly Influenced Citations

  • Averaged 8 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 41 REFERENCES

2004 update

Salwinski, L. et al. The Database of Interacting Proteins
  • Nucleic Acids Res. 32, D449–D451
  • 2004

2003 developments

Garavelli, J. S. The RESID Database of Protein Modifications
  • Nucleic Acids Res. 31, 499–501
  • 2003

A systematic approach to modeling, capturing and disseminating proteomics experimental data

Taylor, C.F
  • Nat. Biotechnol
  • 2003

Design and implementation of microarray gene expression markup language (MAGE-ML)

Spellman, P.T
  • Genome Biol. 3,
  • 2003

GenBank

D. A. Benson, I. Karsch-Mizrachi, D. J. Lipman, J. Ostell, D. L. Wheeler
  • Nucleic Acids Res .
  • 2003