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Record W1966940890 · doi:10.1021/jf049955h

Specificity of Disulfide Bond Formation during Thermal Aggregation in Solutions of β-Lactoglobulin B and κ-Casein A

2004· article· en· W1966940890 on OpenAlexaff
Yoav D. Livney, Douglas G. Dalgleish

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsChemistryBeta-lactoglobulinBETA (programming language)PeptideKappaCaseinIntermolecular forceCysteineCrystallographyTrypsinPeptide bondStereochemistryChromatographyMoleculeEnzymeWhey proteinOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Heat-induced (90 degrees C, 10 min, pH 6.7) intermolecular disulfide bond formation in 1:1 mixtures of beta-lactoglobulin B (beta-Lg) and kappa-casein A (kappa-CN) was studied by enzymatic digestion with trypsin or glu-C, reverse-phase HPLC, and MALDI-TOF-MS. Observed masses were compared to theoretically calculated masses of disulfide-bonded peptide dimers and trimers, and the number of different masses matching peptide combinations involving each bond was used as a measure of confidence of identification. The beta-Lg cysteine residues 121 or 119 were involved in bonds with both cysteines of kappa-CN and all cysteines of beta-Lg. This agrees with the supposed initiatory role of beta-C121 in heat-induced SH/SS interchange. The largest numbers of matches corresponded to bonds linking beta-C119/C121 with kappa-C11 or with beta-C66. Multiple matches were recorded for beta-C119/C121 bonding with beta-C119/C121, with beta-C160, or with kappa-C88. However, beta-C106 was observed only in bonds with beta-C119/C121 and did not appear to bond to kappa-CN, suggesting it remains buried in the core of the protein.

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 score0.328
Threshold uncertainty score0.133

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 head0.017
GPT teacher head0.193
Teacher spread0.175 · 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

Citations49
Published2004
Admission routes1
Has abstractyes

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