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Record W4412768541 · doi:10.1021/acscatal.5c03488

Investigating the Substrate Specificity of <scp>l</scp>-Rhamnose Biosynthetic Enzymes (RmlA–D): Chemoenzymatic Synthesis of an Isosteric Nonhydrolyzable TDP-β-<scp>l</scp>-Rhamnose Phosphonate

2025· article· en· W4412768541 on OpenAlexafffund
Stephanie M. Forget, Jian‐She Zhu, Bronwyn E. Rowland, David L. Jakeman

Bibliographic record

VenueACS Catalysis · 2025
Typearticle
Languageen
FieldChemistry
TopicCarbohydrate Chemistry and Synthesis
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchKillam Trusts
KeywordsPhosphonateEnzymeStereochemistryChemistryRhamnoseSubstrate (aquarium)CatalysisBiosynthesisSubstrate specificityBiochemistryBiology

Abstract

fetched live from OpenAlex

l -Rhamnose (Rha) is widely distributed within bacteria as a component of the polysaccharides that populate bacterial cell walls. While Rha-containing polysaccharides are highly variable in both structure and function, their presence in pathogenic bacteria has provided incentive to explore inhibition of the Rha-pathway as a means toward antibiotic development. Herein, we explore the substrate scope of the Rha biosynthetic enzymes RmlB, RmlC, and RmlD, from Aneurinibacillus thermoaerophilus, with deoxyfluoro-, aminodeoxy-, and phosphonate congeners. The isosteric phosphonate was the only congener turned over by all three enzymes demonstrating conversion to 5′-deoxythymidine- C -(1-deoxy β- l -rhamnosyl bisphosphate) (TDP-1C-Rha). Scale-up of this enzymatic process enabled the isolation of TDP-1C-Rha, an isosteric nonhydrolyzable phosphonate analogue of TDP-Rha and offers an orthogonal approach to deliver phosphonate–phosphate derived enzyme probes.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.012
GPT teacher head0.223
Teacher spread0.212 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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