MétaCan
Menu
Back to cohort
Record W2050414111 · doi:10.1021/bi0514764

Catalytic Mechanism of Fungal Homoserine Transacetylase

2005· article· en· W2050414111 on OpenAlexaff
Ishac Nazi, Gerard D. Wright

Bibliographic record

VenueBiochemistry · 2005
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsChemistryActive siteBiochemistryHomoserineEnzymeCatalytic triadAcetylationComplementationStereochemistryMutant

Abstract

fetched live from OpenAlex

Homoserine transacetylase is a required catalyst in the biochemical pathway that metabolizes Asp to Met in fungi. The enzyme from the yeast Schizosaccharomyces pombe activates the hydroxyl group of L-homoserine by acetylation from acetyl coenzyme A. This enzyme is unique to fungi and some bacteria and presents an important new target for drug discovery. Steady-state kinetic parameters provide evidence that this enzyme follows a ping-pong mechanism. Proton inventory was consistent with a single-proton transfer, and pH studies suggested the participation of at least one residue with a pKa value of 6.4-6.6, possibly a His or Asp/Glu in catalysis. Protein sequence alignments indicate that this enzyme belongs to the alpha/beta-hydrolase fold superfamily of enzymes, indicating the involvement of an active-site nucleophile and possibly a canonical catalytic triad. We constructed site-specific mutants and identified Ser163, Asp403, and His432 as the likely active-site residues of a catalytic triad based on steady-state kinetics and genetic complementation of a yeast null mutant. Moreover, unlike the wild-type enzyme, inactive site mutants were not capable of producing an acetyl-enzyme intermediate. Homoserine transacetylase therefore catalyzes the acetylation of L-homoserine via a covalent acyl-enzyme intermediate through an active-site Ser. These results form the basis of future exploitation of this enzyme as an antimicrobial target.

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 score0.004
Threshold uncertainty score0.640

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)0.0010.000

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 head0.240
Teacher spread0.232 · 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

Citations30
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueBiochemistrySame topicPeptidase Inhibition and AnalysisFrench-language works237,207