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Record W2013479638 · doi:10.1107/s0907444905026132

Galactose recognition by the carbohydrate-binding module of a bacterial sialidase

2005· article· en· W2013479638 on OpenAlexaff
Simon Newstead, Jacqueline N. Watson, Andrew J. Bennet, G.L. Taylor

Bibliographic record

VenueActa Crystallographica Section D Biological Crystallography · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSialidaseGlycoconjugateGalactoseSialic acidBiochemistryCarbohydrate-binding moduleGlycoside hydrolaseChemistryBinding siteEnzymeHydroxylysineBiologyNeuraminidaseAmino acid

Abstract

fetched live from OpenAlex

Glycoside hydrolases often possess carbohydrate-binding modules (CBMs) in addition to their catalytic domains, which help target the enzymes to appropriate substrates and thereby increase their catalytic efficiency. Sialidases hydrolyse the release of sialic acid from a variety of glycoconjugates and play significant roles in the pathogenesis of a number of important diseases. The sialidase from Micromonospora viridifaciens has a CBM which recognizes galactose. The CBM is linked to the catalytic domain by an immunoglobulin-like domain, resulting in the galactose binding site sitting above the catalytic site, suggesting an interplay between the two sites. By studying nine crystallographically independent structures of the M. viridifaciens sialidase, the relative flexibility of the three domains was analysed. A detailed study is also presented of the recognition of galactose and lactose by the M. viridifaciens CBM. The striking structure of this sialidase suggests a role for the CBM in binding to galactose residues unmasked by the adjacent catalytic site.

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)0.001
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 score0.814
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.247
Teacher spread0.228 · 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

Citations53
Published2005
Admission routes1
Has abstractyes

Explore more

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