The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
How Reliable are Experimental Protein–Protein Interaction Data?
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Functional organization of the yeast proteome by systematic analysis of protein complexes
Gavin, A.-C., Bösche, M., Krause, R., Grandi, P., Marzioch, M., Bauer, A., Schultz, J., Rick, J. M., Michon, A.-M., Cruciat, C.-M., et al. (2002) · Nature · doi:10.1038/415141a · Cited by 4,759
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
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) · Nature · doi:10.1038/35001009 · Cited by 4,706
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry
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) · Nature · doi:10.1038/415180a · Cited by 3,601
A comprehensive two-hybrid analysis to explore the yeast protein interactome
Ito, T., Chiba, T., Ozawa, R., Yoshida, M., Hattori, M., & Sakaki, Y. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.061034498 · Cited by 3,566
Comparative assessment of large-scale data sets of protein–protein interactions
von Mering, C., Krause, R., Snel, B., Cornell, M., Oliver, S. G., Fields, S., & Bork, P. (2002) · Nature · doi:10.1038/nature750 · Cited by 2,365
The Database of Interacting Proteins: 2004 update
Salwinski, L. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh086 · Cited by 2,271
BIND--The Biomolecular Interaction Network Database
Bader, G. D. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.242 · Cited by 1,560
A network of protein–protein interactions in yeast
Schwikowski, B., Uetz, P., & Fields, S. (2000) · Nature Biotechnology · doi:10.1038/82360 · Cited by 1,363
MIPS: a database for genomes and protein sequences
Mewes, H. W. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.37 · Cited by 1,272
MIPS: a database for genomes and protein sequences
Mewes, H. W. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.31 · Cited by 786
Cited by
Power-Law Distributions in Empirical Data
Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009) · SIAM Review · doi:10.1137/070710111 · Cited by 8,019
Integration of biological networks and gene expression data using Cytoscape
Cline, M. S., Smoot, M., Cerami, E., Kuchinsky, A., Landys, N., Workman, C., Christmas, R., Avila-Campilo, I., Creech, M., Gross, B., et al. (2007) · Nature Protocols · doi:10.1038/nprot.2007.324 · Cited by 2,507
Hierarchical structure and the prediction of missing links in networks
Clauset, A., Moore, C., & Newman, M. E. J. (2008) · Nature · doi:10.1038/nature06830 · Cited by 2,171
Evaluation of clustering algorithms for protein-protein interaction networks
Brohée, S., & van Helden, J. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-488 · Cited by 892
Protein-Protein Interaction Detection: Methods and Analysis
Rao, V. S., Srinivas, K., Sujini, G. N., & Kumar, G. N. S. (2014) · International Journal of Proteomics · doi:10.1155/2014/147648 · Cited by 811
Metadata
- Authors
- Sprinzak, E., Sattath, S., & Margalit, H.
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 2003-04
- Volume
- 327
- Issue
- 5
- Pages
- 919-923
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W2121507105
- Cited by
- 414
- References
- 25
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: How Reliable are Experimental Protein–Protein Interaction Data? https://app.cochat.ai/papers/10.1016/s0022-2836(03)00239-0
- The paper
- Sprinzak, E., Sattath, S., & Margalit, H. (2003). How Reliable are Experimental Protein–Protein Interaction Data? Journal of Molecular Biology. https://doi.org/10.1016/s0022-2836(03)00239-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
