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Record W2042544794 · doi:10.1139/o09-128

Structural and functional implications of phosphorylation and acetylation in the regulation of the AAA+ protein p97This paper is one of a selection of papers published in this special issue entitled 8th International Conference on AAA Proteins and has undergone the Journal's usual peer review process.

2010· review· en· W2042544794 on OpenAlexvenueno aff
Caroline A. Ewens, Patrik Kloppsteck, Andreas Förster, Xiaodong Zhang, Paul S. Freemont

Bibliographic record

VenueBiochemistry and Cell Biology · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilWellcome Trust
KeywordsSignal transducing adaptor proteinPhosphorylationAcetylationAAA proteinsCell biologyBiologyTranscription factorBiochemistryChemistryComputational biologyATPaseGene

Abstract

fetched live from OpenAlex

p97, also known as VCP (valosin-containing protein), is a hexameric AAA+ ATPase that participates in a variety of cellular processes. It is believed that p97 mediates these processes through the binding of various adaptor proteins. Many factors govern adaptor binding and the regulatory mechanisms are not yet well understood. Sites of phosphorylation and acetylation on p97 have been identified and such post-translational modifications may be involved in regulating p97 function. Phosphorylation and, to a lesser extent, acetylation of p97 have been shown to modify its properties - for example, by modulating adaptor binding and directing subcellular localization. These modifications have been implicated in a number of p97-mediated processes, including misfolded protein degradation, membrane fusion, and transcription factor activation. This review describes the known phosphorylation and acetylation sites on p97 and discusses their possible structural and functional implications.

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 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 score0.170
Threshold uncertainty score0.581

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)0.0010.000

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 head0.022
GPT teacher head0.277
Teacher spread0.254 · 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.

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

Citations38
Published2010
Admission routes1
Has abstractyes

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