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Record W4409197918 · doi:10.1016/j.crfs.2025.101048

Analysis of epitopes and structural responses in egg allergen Gal d 1 using bioinformatic tools and molecular dynamics simulation

2025· article· en· W4409197918 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Research in Food Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTransgenic Plants and Applications
Canadian institutionsMcGill University
FundersFundamental Research Funds for the Central UniversitiesNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsAllergenEpitopeComputational biologyBiologyDynamics (music)Molecular dynamicsEvolutionary biologyChemistryImmunologyPhysicsAntigenAllergy

Abstract

fetched live from OpenAlex

Egg allergy is a growing concern worldwide. Investigating the allergenic and molecular characteristics of egg allergen Ovomucoid (Gal d 1) can enhance our understanding of egg allergies. In this study, the B-cell linear epitopes of Gal d 1 were predicted by using different bioinformatic tools, based on the primary sequence properties of Gal d 1, and obtained 10 potential B-cell linear epitopes. Meanwhile, we conducted molecular dynamics (MD) simulations to apply thermal and an oscillating electric field treatments to Gal d 1 in order to comprehend the structural alterations of Gal d 1 intuitively. The results indicated that Gal d 1 was a thermally stable protein, while the secondary structure and surface characteristics of Gal d 1 were obviously influenced by the combination of thermal stress and electric field, which finally resulted in conformational changes. This study provided a new way to understand the development of hypoallergenic egg products.

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.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.099
GPT teacher head0.446
Teacher spread0.347 · 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