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Record W2558259444 · doi:10.1107/s2053273314095667

Towards the structure of an unusual nonribosomal peptide synthetase

2014· article· en· W2558259444 on OpenAlexaff
D.A. Alonzo, Janice M. Reimer, Nathan A. Magarvey, T.M. Schmeing

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsMcMaster UniversityMcGill University
Fundersnot available
KeywordsNonribosomal peptideAdenylylationDepsipeptideAmino acidPeptideBiochemistryBiosynthesisEnzymeBiologyStereochemistryChemistry

Abstract

fetched live from OpenAlex

Cereulide synthetase (Ces) is a macromolecular machine that produces a toxin involved in severe and lethal food poisoning. Ces belongs to the nonribosomal peptide synthetase (NRPS) family protein, and as such, it employs an assembly line mechanism to generate its cereulide product. The assembly line for cereulide differs from the canonical NRPS pathway because it adds hydroxy acids instead of amino acids at half of the positions in the molecule. To achieve this, the megaenzyme selects alpha keto acids through specialized adenylation domains and then reduces them to hydroxy acids in embedded ketoreductase domains, before adding them to the growing depsipeptide. Several details on the structural features of this unusual NRPS remain unknown. Here we report a full biochemical characterization of this highly complex megaenzyme. We obtained the kinetic constants of each of its four adenylation domains and probed the side chain selectivity for its alpha keto acid – recognizing adenylation domains. Also, we report that the activating protein MbtH is not required for full activity of the assembly line. Finally, we show that each of the modules can be inhibited through mechanism-based inhibitors, which can restrain the conformational flexibility paving the way for structural studies by X-ray crystallography.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.347

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 head0.008
GPT teacher head0.244
Teacher spread0.237 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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