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Record W2486606343 · doi:10.1385/1-59259-847-1:091

The Phenylacetyl-CoA Catabolon

2005· book-chapter· en· W2486606343 on OpenAlexfundno aff
José M. Luengo, Belén Garcı́a, Ángel Sandoval, Elsa Arias‐Barrau, Sagrario Arias, Francisco Bermejo, Elı́as R. Olivera

Bibliographic record

VenueHumana Press eBooks · 2005
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
FundersComisión Interministerial de Ciencia y TecnologíaPublic Health Agency of Canada
KeywordsPhenylacetic acidPhenylacetaldehydeChemistryMetabolic pathwayCatabolismStereochemistryEnzymeOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

The phenylacetyl-CoA catabolon is a complex degradative unit integrated by several catabolic pathways that transform different unrelated aromatic compounds (i.e., phenylacetic acid [PhAc], phenylacetaldehyde, styrene, tropic acid, 2-phenylethylamine, 2-phenylethanol, ethylbenzene, penylacetylamides and other esters, n-phenylalkanoates with an even number of carbon atoms) into general metabolites. This supracatabolic unit contains (1) a central pathway (catabolon core or route of convergence) that catalyzes the conversion of PhAc via phenylacetyl-CoA, into TCA intermediates, and (2) different peripheral routes (upper pathways) that are specifically involved in the conversion of different molecules into phenylacetic acid or into phenylacetyl-CoA. The phenylacetyl CoA catabolon, which has important biotechnological applications (enzymatic synthesis of penicillins, aromatic biotransformations, synthesis of new bioplastics, biosensor design, synthesis of drug vehicles, etc.), has been described in different nonphylogenetically related microbes, reinforcing the metabolic and industrial importance of this complex 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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.815
Threshold uncertainty score0.975

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 head0.019
GPT teacher head0.225
Teacher spread0.205 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2005
Admission routes1
Has abstractyes

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