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The role of arginine residues in substrate binding and catalysis by deacetoxycephalosporin C synthase

2002· article· en· W1572324330 on OpenAlexaff
Sarah J. Lipscomb, Hwei‐Jen Lee, Mridul Mukherji, Jack E. Baldwin, Christopher J. Schofield, Matthew D. Lloyd

Bibliographic record

VenueEuropean Journal of Biochemistry · 2002
Typearticle
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsNational Defence Medical Centre
Fundersnot available
KeywordsStreptomyces clavuligerusStereochemistryChemistryMutagenesisBiochemistryArginineBiosynthesisActive siteATP synthaseSite-directed mutagenesisBinding siteCarboxylateSide chainSubstrate (aquarium)EnzymeMutationMutantBiologyAmino acidGeneAntibioticsOrganic chemistryClavulanic acid

Abstract

fetched live from OpenAlex

Deacetoxycephalosporin C synthase (DAOCS) catalyses the oxidative ring expansion of penicillin N, the committed step in the biosynthesis of cephamycin C by Streptomyces clavuligerus. Site-directed mutagenesis was used to investigate the seven Arg residues for activity (74, 75, 160, 162, 266, 306 and 307), selected on the basis of the DAOCS crystal structure. Greater than 95% of activity was lost upon mutation of Arg-160 and Arg266 to glutamine or other residues. These results are consistent with the proposed roles for these residues in binding the carboxylate linked to the nucleus of penicillin N (Arg160 and Arg162) and the carboxylate of the alpha-aminoadipoyl side-chain (Arg266). The results for mutation of Arg74 and Arg75 indicate that these residues play a less important role in catalysis/binding. Together with previous work, the mutation results for Arg306 and Arg307 indicate that modification of the C-terminus may be profitable with respect to altering the penicillin side-chain selectivity of DAOCS.

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)0.0010.001

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 head0.008
GPT teacher head0.201
Teacher spread0.194 · 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

Citations29
Published2002
Admission routes1
Has abstractyes

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Same venueEuropean Journal of BiochemistrySame topicMicrobial Natural Products and BiosynthesisFrench-language works237,207