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Bacterial Acyl Carrier Protein Interacts with the Alarmone SpoT and the Adaptive Response Protein AidB: Roles for Acyl Carrier Protein Beyond Lipid Metabolism

2009· article· en· W1549325006 on OpenAlexafffund
Julia Laura Cottle, Christopher R. McMaster, David M. Byers

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolomics and Mass Spectrometry Studies
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAcyl carrier proteinBiochemistryDNAProtein–protein interactionPlasma protein bindingChemistryDNA-binding proteinBiologyEnzymeCell biologyGeneTranscription factorBiosynthesis

Abstract

fetched live from OpenAlex

Acyl carrier protein (ACP) plays an essential role in the synthesis of bacterial lipids, and is an attractive target for the development of new antibiotic classes. ACP also forms numerous interactions with proteins involved in other cellular processes that have yet to be fully identified or characterized. Using a C‐terminal Tandem Affinity Purification (TAP)‐tagged ACP we identified two ACP binding partners not directly involved in lipid metabolism, AidB and SpoT, that both exhibit increased interaction with ACP in stationary phase. The increase in binding of SpoT, a synthetase and hydrolase of the alarmone guanidine ‐ 5' (tri)diphosphate ‐3'diphosphate, to ACP appears to be due to increased affinity between the two proteins as cells enter stationary phase. In contrast, the increased interaction with AidB, an adaptive response protein, results from elevation in the level of AidB as cells enter stationary phase. AidB levels are also increased upon exposure of cells to alkylating agents. AidB binds DNA directly and we hypothesize that the positively charged DNA binding region of AidB also binds to the negatively charged ACP. AidB binding to ACP may have important functional consequences in DNA repair. To test this, ACP‐AidB protein‐protein interaction domains are being mapped, and we are determining if AidB‐ACP interactions regulate the ability of the cell to respond to DNA damaging agents. (Supported by NSERC)

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0030.001

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 head0.008
GPT teacher head0.224
Teacher spread0.217 · 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 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

Citations0
Published2009
Admission routes2
Has abstractyes

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