MétaCan
Menu
Back to cohort
Record W2064552473 · doi:10.1042/bst0310532

A structural perspective on the enzymes that convert dTDP-d-glucose into dTDP-l-rhamnose

2003· review· en· W2064552473 on OpenAlexaff
Changjiang Dong, Konstantinos Beis, Marie‐France Giraud, Wulf Blankenfeldt, S.T.M. Allard, Louise L. Major, Ian D. Kerr, Chris Whitfield, James H. Naismith

Bibliographic record

VenueBiochemical Society Transactions · 2003
Typereview
Languageen
FieldMedicine
TopicDiet, Metabolism, and Disease
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiochemistryEnzymeRhamnoseBacteriaMutagenesisDehydrogenaseChemistryActive siteStereochemistryBiologyComputational biologyGalactoseGeneGeneticsMutation

Abstract

fetched live from OpenAlex

Bacteria have a rich collection of biochemical pathways for the synthesis of complex metabolites. These conversions often involve chemical reactions that are hard to reproduce in the laboratory. An area of considerable interest is in the manipulation and synthesis of carbohydrates. In contrast with amino acids, carbohydrates are densely functionalized (each carbon atom is attached to at least one heteroatom) and this holds out the prospect of discovering novel enzyme mechanisms. The results from the study of the biosynthetic dTDP-L-rhamnose pathway are discussed. dTDP-L-rhamnose is a key intermediate in many pathogenic bacteria, as it is the donor for L-rhamnose, which is found in the cell wall of important human pathogens, such as Mycobacteria tuberculosis and Salmonella typhimurium. All four enzymes have been structurally characterized; in particular, the acquisition of structural data on substrate complexes was extremely useful. The structural data have guided site-directed-mutagenesis studies that have been used to test mechanistic hypotheses. The results shed light on three classes of enzyme mechanism: nucleotide condensation, short-chain dehydrogenase activity and epimerization.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.711
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.344
Teacher spread0.289 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations50
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueBiochemical Society TransactionsSame topicDiet, Metabolism, and DiseaseFrench-language works237,207