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Record W3203367348 · doi:10.1073/pnas.2012591118

A shared mechanistic pathway for pyridoxal phosphate–dependent arginine oxidases

2021· article· en· W3203367348 on OpenAlexafffund
Elesha R. Hoffarth, Kersti Caddell Haatveit, Eugene Kuatsjah, Gregory A. MacNeil, Simran Saroya, Charles J. Walsby, Lindsay D. Eltis, K. N. Houk, Marc Garcia‐Borràs, Katherine S. Ryan

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial metabolism and enzyme function
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
FundersGeneralitat de CatalunyaNational Institute of General Medical SciencesNatural Sciences and Engineering Research Council of CanadaMinisterio de Ciencia e InnovaciónGovernment of Canada
KeywordsArginineBiochemistryPyridoxal phosphateChemistryPyridoxal 5-PhosphatePyridoxalPhosphateEnzymeCofactorAmino acid

Abstract

fetched live from OpenAlex

Significance Pyridoxal phosphate (PLP)-dependent enzymes rarely react with oxygen, but an emerging group of oxygen-, PLP-dependent enzymes oxidize l -arginine. Two types of oxidases are known: hydroxylases and desaturases. We demonstrate that arginine desaturases have a minor hydroxylase activity and then show through X-ray crystallographic, mutagenesis, spectroscopic, and computational studies that their mechanism involves two rounds of single-electron transfer to oxygen and superoxide rebound, ultimately giving a conjugated hydroperoxyl intermediate. Water can attack to give a hydroxylated product and release H 2 O 2 , but with water absent, the intermediate can be deprotonated, instead giving a desaturated product and H 2 O 2 . Our work outlines the unique mechanism and evolutionary history of these enzymes and sets the stage toward engineering these enzymes to catalyze oxidative reactions.

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)0.001
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.029
GPT teacher head0.274
Teacher spread0.245 · 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

Citations18
Published2021
Admission routes2
Has abstractyes

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Same venueProceedings of the National Academy of SciencesSame topicMicrobial metabolism and enzyme functionFrench-language works237,207