The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ligand Discrimination by TPR Domains
Open accessAbstract
Protein-protein interaction modules containing so-called tetratricopeptide repeats (TPRs) mediate the assembly of Hsp70/Hsp90 multi-chaperone complexes. The TPR1 and TPR2A domains of the Hsp70/Hsp90 adapter protein p60/Hop specifically bind to short peptides corresponding to the C-terminal tails of Hsp70 and Hsp90, respectively, both of which contain the highly conserved sequence motif EEVD-COOH. Here, we quantitatively assessed the contribution of TPR-mediated peptide recognition to Hsp70.Hop.Hsp90 complex formation. The interaction of TPR2A with the C-terminal pentapeptide of Hsp90 (MEEVD) is identified as the core contact for Hop binding to Hsp90. (In peptide sequences, italics are used to highlight residues specific for Hsp70 or Hsp90.) In contrast, formation of the Hsp70.Hop complex depends not only on recognition of the C-terminal Hsp70 heptapeptide (PTIEEVD) by TPR1 but also on additional contacts between Hsp70 and Hop. The sequence motifs for TPR1 and TPR2A binding were defined by alanine scanning of the C-terminal octapeptides of Hsp70 and Hsp90 and by screening of combinatorial peptide libraries. Asp0 and Val-1 of the EEVD motif are identified as general anchor residues, but the highly conserved glutamates of the EEVD sequence, which are critical in Hsp90 binding by TPR2A, do not contribute appreciably to the interaction of Hsp70 with TPR1. Rather, TPR1 prefers hydrophobic amino acids in these positions. Moreover, the TPR domains display a pronounced tendency to interact preferentially with hydrophobic aliphatic and aromatic side chains in positions -4 and -6 of their respective peptide ligands. Ile-4 in Hsp70 and Met-4 in Hsp90 are most important in determining the specific binding of TPR1 and TPR2A, respectively.
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
Structure of TPR Domain–Peptide Complexes
Scheufler, C., Brinker, A., Bourenkov, G., Pegoraro, S., Moroder, L., Bartunik, H., Hartl, F. U., & Moarefi, I. (2000) · Cell · doi:10.1016/s0092-8674(00)80830-2 · Cited by 1,188
Self-citationStructure of the TPR Domain of p67phox in Complex with Rac·GTP
Lapouge, K., Smith, S. J. M., Walker, P. A., Gamblin, S. J., Smerdon, S. J., & Rittinger, K. (2000) · Molecular Cell · doi:10.1016/s1097-2765(05)00091-2 · Cited by 311
Russell, L. C., Whitt, S. R., Chen, M.-S., & Chinkers, M. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.29.20060 · Cited by 165
Cited by
Structure and mechanism of the Hsp90 molecular chaperone machinery
Pearl, L. H., & Prodromou, C. (2006) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.75.103004.142738 · Cited by 1,103
Molecular chaperones Hsp90 and Hsp70 deliver preproteins to the mitochondrial import receptor Tom70
Young, J. C., Hoogenraad, N. J., & Hartl, F. U. (2003) · Cell · doi:10.1016/s0092-8674(02)01250-3 · Cited by 915
Self-citationZhao, 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
The Hsp90 chaperone machinery: Conformational dynamics and regulation by co-chaperones
Li, J., Soroka, J., & Buchner, J. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2011.09.003 · Cited by 498
Magliery, T. J., Wilson, C. G. M., Pan, W., Mishler, D., Ghosh, I., Hamilton, A. D., & Regan, L. (2005) · Journal of the American Chemical Society · doi:10.1021/ja046699g · Cited by 441
Metadata
- Authors
- Brinker, A., Scheufler, C., von der Mülbe, F., Fleckenstein, B., Herrmann, C., Jung, G., Moarefi, I., & Hartl, F. U.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2002-05
- Volume
- 277
- Issue
- 22
- Pages
- 19265-19275
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W1764690254
- Cited by
- 226
- References
- 3
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Ligand Discrimination by TPR Domains. https://app.cochat.ai/papers/10.1074/jbc.m109002200
- The paper
- Brinker, A., Scheufler, C., von der Mülbe, F., Fleckenstein, B., Herrmann, C., Jung, G., Moarefi, I., & Hartl, F. U. (2002). Ligand Discrimination by TPR Domains. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m109002200
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.