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Record W2024035207 · doi:10.1139/w08-063

Gene cloning, protein purification, and enzymatic properties of multicopper oxidase, from<i>Klebsiella</i>sp. 601

2008· article· en· W2024035207 on OpenAlexvenueno aff
Yang Li, Jiao Yin, Guosheng Qu, Luchao Lv, Yadong Li, Sheng Yang, Xingguo Wang

Bibliographic record

VenueCanadian Journal of Microbiology · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsnot available
FundersNatural Science Foundation of Hubei Province
KeywordsMulticopper oxidaseEscherichia coliAmino acidMolecular massEnzymeKlebsiellaBiochemistryThermostabilityABTSChemistryBiologyPeptide sequenceLaccaseGene

Abstract

fetched live from OpenAlex

A gene encoding a putative multicopper oxidase (MCO) was cloned from the soil bacterium Klebsiella sp. 601 and its corresponding enzyme was overexpressed in an Escherichia coli strain. Klebsiella sp. 601 MCO is composed of 536 amino acids with a molecular mass of 58.2 kDa. Theoretical calculation gave a pI value of 6.11. The amino acid sequence of Klebsiella sp. 601 MCO is strongly homologous to that of E. coli CueO with a similarity of 90% and an identity of 78%. Unlike E. coli CueO, Klebsiella sp. 601 MCO contains an extra 20 amino acids close to its C-terminus. The enzyme was purified to homogeneity by Ni-affinity chromatography. The purified enzyme was capable of using DMP (2,6-dimethoxyphenol), ABTS (2,2'-azino-bis(3-ethylbenzthiazolinesulfonic acid)), and SGZ (syringaldazine) as substrates with an optimal pH of 8.0 for DMP, 3.0 for ABTS, and 7.0 for SGZ. Klebsiella sp. 601 MCO was quite stable at pH 7.0 in which its activity was constant for 25 h without any significant change. Kinetic studies gave Km, kcat, and kcat//Km values of 0.49 mmol/L, 1.08 x 103 s-1, and 2.23 x 103 s-1 x mmol/L-1, respectively, for DMP, 5.63 mmol/L, 6.64 x 103 s-1, and 1.18 x 103 s-1 x mmol/L-1 for ABTS, and 0.023 mmol/L, 11 s-1, and 4.68 x 102 s-1 x mmol/L-1 for SGZ.

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 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 score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.021
GPT teacher head0.171
Teacher spread0.150 · 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

Citations18
Published2008
Admission routes1
Has abstractyes

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