Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 418

The DOI matches its Crossref record.

Supervising the fold: functional principles of molecular chaperones

Buchner, Johannes·1996·The FASEB Journal

Abstract

Molecular chaperones are a set of conserved protein families that share the remarkable ability to recognize and selectively bind nonnative proteins under physiological and stress conditions. Thus, they prevent irreversible aggregation reactions and keep proteins on the productive folding pathway. Evidence suggests that the cell has developed several functionally distinct chaperone families to support protein folding. The importance of molecular chaperones under stress conditions is highlighted by the finding that all the major heat shock protein families (Hspl04, Hsp90, Hsp70, Hsp60/GroEL, and small Hsps) suppress irreversible unfolding reactions. Under heat shock, only the increased expression of a repertoire of different chaperones seems to convey thermotolerance and guarantee survival. The molecular mechanism by which chaperones in general influence protein folding processes is still far from clear. However, significant progress has been achieved in understanding some of the partial reactions of the chaperone folding cycles and in functionally differentiating between the different chaperone families.—Buchner, J. Supervising the fold: functional principles of molecular chaperones. FASEB J. 10,10‐19 (1996)

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1096/fasebj.10.1.8566529

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 418

Metadata

Authors
Buchner, J.
Venue
The FASEB Journal
Publisher
Wiley
Published
1996-01
Volume
10
Issue
1
Pages
10-19
ISSN
  • 0892-6638 (ISSN-L)
  • 1530-6860
OpenAlex
W1603717990
Cited by
418
References
0
FWCI
16.33
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: Supervising the fold: functional principles of molecular chaperones. https://app.cochat.ai/papers/10.1096/fasebj.10.1.8566529
The paper
Buchner, J. (1996). Supervising the fold: functional principles of molecular chaperones. The FASEB Journal. https://doi.org/10.1096/fasebj.10.1.8566529

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.