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Record W2055629216 · doi:10.1139/o01-148

Crowbars and ratchets: Hsp100 chaperones as tools in reversing protein aggregation

2001· article· en· W2055629216 on OpenAlexaffvenue
John R. Glover, John M. Tkach

Bibliographic record

VenueBiochemistry and Cell Biology · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProtein foldingProtein aggregationChemical chaperoneChaperone (clinical)Co-chaperoneHeat shock proteinChemistryIntracellularFolding (DSP implementation)BiophysicsCell biologyComputational biologyBiologyHsp70BiochemistryUnfolded protein responseGene

Abstract

fetched live from OpenAlex

Molecular chaperones have the capacity to prevent inappropriate interactions between aggregation-prone folding or unfolding intermediates created in the cell during protein synthesis or in response to physical and chemical stress. What happens when surveillance by molecular chaperones is evaded or overwhelmed and aggregates accumulate? Recent progress in the elucidation of Hsp100/Clp function suggests that intracellular aggregates or stable complexes can be progressively dissolved by the action of chaperones that act as molecular crowbars or ratchets. These insights set the stage for new progress in the understanding and treatment of diseases of protein folding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.274
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations47
Published2001
Admission routes2
Has abstractyes

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