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Record W2063087499 · doi:10.1042/bst20130013

Resolving the functions of peptidylprolyl isomerases: insights from the mutagenesis of the nuclear FKBP25 enzyme

2013· review· en· W2063087499 on OpenAlexaff
Geoff Gudavicius, Heddy Soufari, Santosh Kumar Upadhyay, Cameron D. Mackereth, Christopher J. Nelson

Bibliographic record

VenueBiochemical Society Transactions · 2013
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsIsomerasePeptidylprolyl isomeraseBiologyMutagenesisBiochemistryCell biologyCis-trans-IsomerasesMutantMutationEnzymeGene

Abstract

fetched live from OpenAlex

Peptidylprolyl isomerases have been implicated in chromatin regulation through their association with histones, chromatin-modifying enzymes and DNA-binding transcription factors. As with other post-translational modifications to proteins, a mechanistic understanding of the regulation of biological processes is fostered by loss-of-function studies both in vitro and in vivo. For peptidylprolyl isomerases, this can be accomplished with small-molecule inhibitors with high affinity for the isomerase active site or by mutation of amino acid residues that contribute to catalysis. In the present article, we review caveats to each of these approaches, and place emphasis on the thorough characterization of loss-of-function mutations in FKBPs (FK506-binding proteins). Using a case study of mutagenesis of the nuclear FKBP25 peptidylprolyl isomerase enzyme, we demonstrate that certain mutations generate a loss-of-function phenotype because they induce a complete loss of the FKBP domain fold, whereas other mutations are 'surgical' in that they ablate catalytic isomerase activity, while maintaining domain structure. Peptidylprolyl isomerases are thought to have both catalytic and non-catalytic functions, but differentiating between these mechanisms has proved to be challenging. The domain-destabilizing and surgical mutants described will facilitate the characterization of these two reported functions of peptidylprolyl isomerases.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.799
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations15
Published2013
Admission routes1
Has abstractyes

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