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Record W2074597022 · doi:10.4161/cc.9.1.10267

The long unwinding road: XPB and XPD helicases in damaged DNA opening

2010· review· en· W2074597022 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCell Cycle · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsnot available
FundersInstitute of Cancer ResearchInstitut National Du CancerAgence Nationale de la Recherche
KeywordsTranscription factor II HHelicaseBiologyNucleotide excision repairDNA repairDNA damageCarcinogenesisGeneticsDNACell biologyComputational biologyCancerGeneRNA

Abstract

fetched live from OpenAlex

The mammalian nucleotide excision repair (NER) pathway removes dangerous bulky adducts from genomic DNA. Failure to eliminate these lesions can lead to oncogenesis, developmental abnormalities and accelerated ageing. TFIIH is a central NER factor that opens the damaged DNA through the action of its two helicases (XPB and XPD) prior to incision. Here we review our recently published data that suggest specific and distinct roles for these two helicases in NER. We also discuss the regulation of XPB and XPD enzymatic activities within TFIIH and repair complexes, and show that mutations impeding enzyme-regulator interaction contribute to genetic disorders. Understanding the fundamental molecular mechanism regulating NER is a crucial aspect of cancer therapy since the resistance to chemotherapy treatment relies on the capacities of the cell to eliminate drug-induced DNA lesions.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.835

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 head0.017
GPT teacher head0.288
Teacher spread0.272 · 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