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Record W4312128728 · doi:10.1038/s41467-022-35491-z

Author Correction: The retaining β-Kdo glycosyltransferase WbbB uses a double-displacement mechanism with an intermediate adduct rearrangement step

2022· erratum· en· W4312128728 on OpenAlexaff
Taylor J. B. Forrester, Olga G. Ovchinnikova, Zhixiong Li, Elena N. Kitova, Jeremy T. Nothof, Akihiko Koizumi, John S. Klassen, Todd L. Lowary, Chris Whitfield, Matthew S. Kimber

Bibliographic record

VenueNature Communications · 2022
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topic14-3-3 protein interactions
Canadian institutionsUniversity of AlbertaUniversity of Guelph
Fundersnot available
KeywordsMechanism (biology)GlycosyltransferaseAdductDisplacement (psychology)StereochemistryChemistryBiochemistryEnzymePhilosophyPsychologyOrganic chemistryEpistemology

Abstract

fetched live from OpenAlex

The original version of this Article contained an error in the introduction, which incorrectly stated 'Quantum mechanics/molecular mechanics (QM/MM) simulations of this enzyme do indicate participation of Glu303 in the mechanism, but the covalent-like interaction is highly transitory, lasting only for only a few picoseconds 8 and mutation of this residue to cysteine or aspartate only slightly slows the reaction 9 .' The correct version states 'Quantum mechanics/ molecular mechanics (QM/MM) metadynamics analysis of a bovine GT-6's mechanism predicts that, while the substrates are organized very similarly to other retaining GTs, the donor saccharide forms an intermediate glutamate-galactose covalent adduct prior to transfer to the acceptor 8 ; however, in later experiments on human GT-6, mutation of Glu303 to cysteine or aspartate was found to only slightly slow the reaction 9 .'

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0010.005
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 head0.026
GPT teacher head0.320
Teacher spread0.294 · 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
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

Citations1
Published2022
Admission routes1
Has abstractyes

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