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Record W2032727811 · doi:10.1139/o05-117

Functional analysis of tunicamycin-inducible gene A polypeptide from <i>Aspergillus niger</i>

2005· article· en· W2032727811 on OpenAlexvenueno aff
Yurong Liang, Wei Li, Qingxu Ma, Yuying Zhang

Bibliographic record

VenueBiochemistry and Cell Biology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsTunicamycinProtein disulfide-isomeraseBiochemistryChaperone (clinical)RibonucleaseIsomeraseThioredoxinChemistryProtein foldingMutantGlyceraldehyde 3-phosphate dehydrogenaseGeneMolecular biologyBiologyDehydrogenaseEnzymeRNAUnfolded protein response

Abstract

fetched live from OpenAlex

Tunicamycin-inducible gene A polypeptide (TIGA) is a member of the protein disulfide isomerase (PDI) family and is suggested to facilitate the folding of nascent polypeptides. The functional properties of TIGA were investigated here. TIGA acted as an isomerase, catalyzing the refolding of denatured and reduced ribonuclease A. TIGA also exhibited chaperone activity in the refolding of denatured prochymosin but not in the refolding of glyceraldehyde 3-phosphate dehydrogenase (GAPDH), indicating that it had substrate specificity with respect to chaperone activity. Detailed study with a series of thioredoxin-motif (trx-motif) mutants revealed that the 2 trx-motifs of TIGA were not equal in activity. The N-terminal trx-motif was more active than the C-terminal trx-motif, and the first cysteine in each trx-motif was necessary for isomerase activity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.253
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2005
Admission routes1
Has abstractyes

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