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Record W1516363779 · doi:10.5772/22148

Double Strand Break Signaling in Health and Diseases

2011· book-chapter· en· W1516363779 on OpenAlexafffund
Marie‐jo Halaby, Razqallah Hakem

Bibliographic record

VenueInTech eBooks · 2011
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsOntario Institute for Cancer Research
FundersCanadian Institutes of Health ResearchCancer Research Society
KeywordsMedicine

Abstract

fetched live from OpenAlex

2.1 Sensing the DNA double strand breaks When DSBs are generated they are initially recognized by either the Ku70/Ku80 heterodimer, the Mre11-Rad50-NBS1 (MRN) complex or members of the PARP (PARP1/2) family of proteins The role of these protein sensors is to bind to and tether the DNA ends, thereby preventing further breakage as well as to recruit additional proteins that are required for DSB signaling and repair. The first group of proteins to be recruited to DSBs after initial sensing of the breaks belongs to the phosphatidylinositol-3kinase-like protein kinases family. These include ATM (ataxia-telangiectasia mutated), ATR (ATM and Rad3-related) and the catalytic subunit of DNA-PK known as DNA-PKcs. While ATM and DNA-PK respond only to DSBs, ATR also responds to single strand DNA breaks.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.658
Threshold uncertainty score1.000

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 head0.021
GPT teacher head0.248
Teacher spread0.227 · 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.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations0
Published2011
Admission routes2
Has abstractyes

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