The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
An Interaction Network Predicted from Public Data as a Discovery Tool: Application to the Hsp90 Molecular Chaperone Machine
Open accessAbstract
Understanding the functions of proteins requires information about their protein-protein interactions (PPI). The collective effort of the scientific community generates far more data on any given protein than individual experimental approaches. The latter are often too limited to reveal an interactome comprehensively. We developed a workflow for parallel mining of all major PPI databases, containing data from several model organisms, and to integrate data from the literature for a protein of interest. We applied this novel approach to build the PPI network of the human Hsp90 molecular chaperone machine (Hsp90Int) for which previous efforts have yielded limited and poorly overlapping sets of interactors. We demonstrate the power of the Hsp90Int database as a discovery tool by validating the prediction that the Hsp90 co-chaperone Aha1 is involved in nucleocytoplasmic transport. Thus, we both describe how to build a custom database and introduce a powerful new resource for the scientific community.
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
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Shaner, N. C., Campbell, R. E., Steinbach, P. A., Giepmans, B. N. G., Palmer, A. E., & Tsien, R. Y. (2004) · Nature Biotechnology · doi:10.1038/nbt1037 · Cited by 4,619
Hierarchical Organization of Modularity in Metabolic Networks
Ravasz, E., Somera, A. L., Mongru, D. A., Oltvai, Z. N., & Barabási, A.-L. (2002) · Science · doi:10.1126/science.1073374 · Cited by 4,224
HSP90 at the hub of protein homeostasis: emerging mechanistic insights
Taipale, M., Jarosz, D. F., & Lindquist, S. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2918 · Cited by 1,818
Zhao, R., Davey, M., Hsu, Y.-C., Kaplanek, P., Tong, A., Parsons, A. B., Krogan, N., Cagney, G., Mai, D., Greenblatt, J., et al. (2005) · Cell · doi:10.1016/j.cell.2004.12.024 · Cited by 819
Diverse Cellular Functions of the Hsp90 Molecular Chaperone Uncovered Using Systems Approaches
McClellan, A. J., Xia, Y., Deutschbauer, A. M., Davis, R. W., Gerstein, M., & Frydman, J. (2007) · Cell · doi:10.1016/j.cell.2007.07.036 · Cited by 474
Millson, S. H., Truman, A. W., King, V., Prodromou, C., Pearl, L. H., & Piper, P. W. (2005) · Eukaryotic Cell · doi:10.1128/ec.4.5.849-860.2005 · Cited by 172
Echeverría, P. C., Mazaira, G., Erlejman, A., Gomez-Sanchez, C., Pilipuk, G. P., & Galigniana, M. D. (2009) · Molecular and Cellular Biology · doi:10.1128/mcb.00649-09 · Cited by 144
Self-citationGaligniana, M. D., Echeverría, P. C., Erlejman, A. G., & Piwien-Pilipuk, G. (2010) · Nucleus · doi:10.4161/nucl.1.4.11743 · Cited by 114
Self-citationNovel Hsp90 partners discovered using complementary proteomic approaches
Tsaytler, P. A., Krijgsveld, J., Goerdayal, S. S., Rüdiger, S., & Egmond, M. R. (2009) · Cell Stress and Chaperones · doi:10.1007/s12192-009-0115-z · Cited by 46
Cited by
Schopf, F. H., Biebl, M. M., & Buchner, J. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.20 · Cited by 1,540
Polypharmacology: Challenges and Opportunities in Drug Discovery: Miniperspective
Anighoro, A., Bajorath, J., & Rastelli, G. (2014) · Journal of Medicinal Chemistry · doi:10.1021/jm5006463 · Cited by 1,131
Regulation and function of the human HSP90AA1 gene
Zuehlke, A. D., Beebe, K., Neckers, L., & Prince, T. (2015) · Gene · doi:10.1016/j.gene.2015.06.018 · Cited by 347
Dual or multi-targeting inhibitors: The next generation anticancer agents
Raghavendra, N. M., Pingili, D., Kadasi, S., Mettu, A., & Prasad, S. V. U. M. (2018) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2017.10.021 · Cited by 333
Structure, Function, and Regulation of the Hsp90 Machinery
Biebl, M. M., & Buchner, J. (2019) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a034017 · Cited by 304
Metadata
- Authors
- Echeverría, P. C., Bernthaler, A., Dupuis, P., Mayer, B., & Picard, D.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-10-11
- Volume
- 6
- Issue
- 10
- Pages
- e26044
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2030858953
- Cited by
- 251
- References
- 10
- FWCI
- 5.29
- Type
- journal article
- Language
- en
- Open access
- gold
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: An Interaction Network Predicted from Public Data as a Discovery Tool: Application to the Hsp90 Molecular Chaperone Machine. https://app.cochat.ai/papers/10.1371/journal.pone.0026044
- The paper
- Echeverría, P. C., Bernthaler, A., Dupuis, P., Mayer, B., & Picard, D. (2011). An Interaction Network Predicted from Public Data as a Discovery Tool: Application to the Hsp90 Molecular Chaperone Machine. PLoS ONE. https://doi.org/10.1371/journal.pone.0026044
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.