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Record W2100897835 · doi:10.1139/w09-051

Cloning, sequence analysis, and expression of gene <i>alyPI</i> encoding an alginate lyase from marine bacterium <i>Pseudoalteromonas</i> sp. CY24

2009· article· en· W2100897835 on OpenAlexvenueno aff
Gaofei Duan, Feng Han, Wengong Yu

Bibliographic record

VenueCanadian Journal of Microbiology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsnot available
FundersOcean University of China
KeywordsPseudoalteromonasBiochemistryBiologyEscherichia coliOpen reading frameLyasePeptide sequenceAmino acidATP citrate lyaseSignal peptideBacteriaGeneEnzymeMolecular biologyGenetics16S ribosomal RNACitrate synthase

Abstract

fetched live from OpenAlex

The alginate lyase encoding gene (alyPI) of marine bacterium Pseudoalteromonas sp. CY24 was cloned using a battery of PCR techniques. Gene alyPI was composed of a 1575 bp open reading frame encoding a protein of 57.4 kDa containing 524 amino acid residues with a signal peptide of 23 amino acids. The AlyPI protein was expressed in Escherichia coli with a His-tag sequence fused at the C-terminal end and purified to electrophoretic homogeneity using Ni-sepharose affinity chromatography. AlyPI was most active at 40 degrees C and pH 7.0 in the presencce of 0.1 mol/L NaCl and stable over a broad range of pH, 6.0-10.6. The presence of Na+, K+, Mn2+, Ca2+, and Fe3+ can enhance the enzyme activity. The alginate lyase consensus region YFKAGXYXQ, regarded as a striking feature at the C termini of several alginate lyase of ~30 kDa, was found in AlyPI, which belongs to the ~60 kDa group. Another nine amino acid consensus region, YXRSELREM, only found in G-specific alginate lyases previously existed in AlyPI, which could degrade sodium alginate, M blocks, and G blocks and appeared to be a broad substrate-specific alginate lyase.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.219
Teacher spread0.202 · 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

Citations37
Published2009
Admission routes1
Has abstractyes

Explore more

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