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Record W2020979664 · doi:10.1139/o09-167

Diverse functions of mitochondrial AAA+ proteins: protein activation, disaggregation, and degradationThis 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· W2020979664 on OpenAlexvenueno aff
Kaye N. Truscott, Bradley R. Lowth, Philip R. Strack, David A. Dougan

Bibliographic record

VenueBiochemistry and Cell Biology · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsnot available
FundersAustralian Research CouncilLa Trobe University
KeywordsOrganelleMitochondrionBiologyCell biologyAAA proteinsFunction (biology)ATP hydrolysisComputational biologyATPaseBiochemistryEnzyme

Abstract

fetched live from OpenAlex

In eukaryotes, mitochondria are required for the proper function of the cell and as such the maintenance of proteins within this organelle is crucial. One class of proteins, collectively known as the AAA+ (ATPases associated with various cellular activities) superfamily, make a number of important contributions to mitochondrial protein homeostasis. In this organelle, they contribute to the maturation and activation of proteins, general protein quality control, respiratory chain complex assembly, and mitochondrial DNA maintenance and integrity. To achieve such diverse functions this group of ATP-dependent unfoldases utilize the energy from ATP hydrolysis to modulate the structure of proteins via unique domains and (or) associated functional components. In this review, we describe the current status of knowledge regarding the known mitochondrial AAA+ proteins and their role in this organelle.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.005

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 head0.030
GPT teacher head0.281
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

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 designNot applicable
Domainnot available
GenreReview

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

Citations48
Published2010
Admission routes1
Has abstractyes

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