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Record W2136212424 · doi:10.1101/gad.1363206

Coordination and communication between the p53 and IGF-1–AKT–TOR signal transduction pathways

2006· review· en· W2136212424 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGenes & Development · 2006
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiologySignal transductionProto-Oncogene Proteins c-aktCell biologyProtein kinase BTOR signalingPI3K/AKT/mTOR pathwayNutrient sensingGeneGenetics

Abstract

fetched live from OpenAlex

Over the past 10 years the signal transduction networks for p53, IGF-1-AKT, and TOR pathways have been assembled in worms, flies, and mammals, and their functions elucidated. In the past 1-2 years a number of genes and their proteins have been identified that permit extensive communication and coordination between these pathways. These three pathways are involved in sensing and integrating signals arising from nutrient and growth factor availability, signals from sensory and sexual organs, and intrinsic and extrinsic stress signals. In turn these pathways regulate cell growth, proliferation, and death. These networks are central to our understanding of a variety of physiological and pathological conditions, including cancer, diabetes, and longevity.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.997
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 head0.039
GPT teacher head0.290
Teacher spread0.251 · 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