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Record W1964217625 · doi:10.1074/jbc.m102766200

Regulation of Mitochondrial Carbamoyl-phosphate Synthetase 1 Activity by Active Site Fatty Acylation

2001· article· en· W1964217625 on OpenAlexafffund
María M. Corvi, Carrie-Lynn M. Soltys, Luc G. Berthiaume

Bibliographic record

VenueJournal of Biological Chemistry · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Alberta
FundersHeart and Stroke Foundation of Canada
KeywordsAcylationBiochemistryMitochondrionCarbamoyl phosphate synthetaseFatty acidBiologyCysteineChemistryEnzyme

Abstract

fetched live from OpenAlex

In addition to its role in reversible membrane localization of signal-transducing proteins, protein fatty acylation could play a role in the regulation of mitochondrial metabolism. Previous studies have shown that several acylated proteins exist in mitochondria isolated from COS-7 cells and rat liver. Here, a prominent fatty-acylated 165-kDa protein from rat liver mitochondria was identified as carbamoyl-phosphate synthetase 1 (CPS 1). Covalently attached palmitate was linked to CPS 1 via a thioester bond resulting in an inhibition of CPS 1 activity at physiological concentrations of palmitoyl-CoA. This inhibition corresponds to irreversible inactivation of CPS 1 and occurred in a time- and concentration-dependent manner. Fatty acylation of CPS 1 was prevented by preincubation with N-ethylmaleimide and 5'-p-fluorosulfonylbenzoyladenosine, an ATP analog that reacts with CPS 1 active site cysteine residues. Our results suggest that fatty acylation of CPS 1 is specific for long-chain fatty acyl-CoA and very likely occurs on at least one of the essential cysteine residues inhibiting the catalytic activity of CPS 1. Inhibition of CPS 1 by long-chain fatty acyl-CoAs could reduce amino acid degradation and urea secretion, thereby contributing to nitrogen sparing during starvation.

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 score0.017
Threshold uncertainty score0.528

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 head0.015
GPT teacher head0.249
Teacher spread0.233 · 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

Citations68
Published2001
Admission routes2
Has abstractyes

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