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Record W2156257105 · doi:10.1139/w05-020

An improved method for detection and quantification of chitinase activities

2005· article· en· W2156257105 on OpenAlexafffundvenue
Jennifer L. Guthrie, Sagal Khalif, Alan J. Castle

Bibliographic record

VenueCanadian Journal of Microbiology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicStudies on Chitinases and Chitosanases
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChitinaseChitinBiologyEnzymeBiochemistryPolyacrylamidePolyacrylamide gel electrophoresisMicrobiologyMolecular biology

Abstract

fetched live from OpenAlex

Chitinases are enzymes that serve critical roles in fungal growth and development, in resistance of plants to fungal pathogens, and in parasitism of insects by entomopathogenic fungi. The term "chitinase" is used for 3 enzymatic activities: N-acetylglucosaminidases, which sequentially release N-acetylglucosamine residues from the chitin polymer; chitobiosidases, which release disaccharides; and endochitinases, which cleave within the polymer and release oligosaccharides. We describe a technique where chitinases are separated on non-denaturing polyacrylamide gels, activities are visualized and characterized with chitinase specific substrates, and specific activities are estimated by image analysis. This technique permits a rapid determination of all of the types of chitinases present within a sample as well as their activities.

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 score0.035
Threshold uncertainty score0.982

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 head0.010
GPT teacher head0.263
Teacher spread0.253 · 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

Citations27
Published2005
Admission routes3
Has abstractyes

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