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Record W2113445396 · doi:10.1016/s0014-5793(03)01174-8

Shc‐dependent pathway is redundant but dominant in MAPK cascade activation by EGF receptors: a modeling inference

2003· article· en· W2113445396 on OpenAlexaff
Yunchen Gong, Xin Zhao

Bibliographic record

VenueFEBS Letters · 2003
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsMAPK/ERK pathwayCell biologyPhosphorylationSignal transductionReceptorBiologyEpidermal growth factorMAPK cascadeChemistryBiochemistry

Abstract

fetched live from OpenAlex

In cell signaling cascades, one stimulus often leads to various physiological functions by multiple pathways. Perturbation of one pathway by blocking or overexpressing one of its components will result in changes in multiple pathways and multiple cell functions. Thus, it is important to reveal the relative contribution of each pathway to each function in order to assess the consequence of perturbations (e.g. drug delivery). By exploring an established mathematical model, the Shc-dependent pathway is found to be both redundant and dominant during activation of the mitogen-activated protein kinase cascade by epidermal growth factor receptor (EGFR). Its dominance results from the majority consumption of the common precursor ((EGF-EGFR*)2-GAP) by this pathway. The key steps for the dominance are the binding and phosphorylation of Shc. In conclusion, cells may prefer the long Shc-dependent pathway to the short Shc-independent pathway.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.298
Teacher spread0.267 · 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 designSimulation or modeling
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

Citations26
Published2003
Admission routes1
Has abstractyes

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