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Record W2089579302 · doi:10.1002/bip.21109

Interaction of α‐gliadin with poly(HEMA‐<i>co</i>‐SS): Structural characterization and biological implication

2008· article· en· W2089579302 on OpenAlexaff
Li Liang, Maud Pinier, Jean‐Christophe Leroux, Muriel Subirade

Bibliographic record

VenueBiopolymers · 2008
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsUniversité de MontréalUniversité Laval
Fundersnot available
KeywordsChemistryGliadinCharacterization (materials science)Chemical engineeringBiochemistryNanotechnologyGluten

Abstract

fetched live from OpenAlex

The wheat gluten protein alpha-gliadin, a well known trigger of celiac disease, can be complexed by random copolymers of hydroxyethyl methacrylate (HEMA) and sodium 4-styrene sulfonate (SS). In this work, influence of alpha-gliadin and poly(HEMA-co-SS) concentrations on alpha-gliadin structure was studied using spectroscopic techniques and dynamic light scattering. In 70% ethanol or 0.06M HCl (pH 1.2), alpha-gliadin was found to self-associate upon increasing its concentrations and displayed decreased alpha-helical content and increased beta-turn and beta-sheet contents. At pH 1.2, alpha-gliadin interacted with poly(HEMA-co-SS) to form supra-molecular complex particles. Poly(HEMA-co-SS) induced alpha-gliadin structural changes that mimicked those obtained by varying the protein concentration in pure solution. At pH 6.8, alpha-gliadin was poorly soluble and formed large particles but alpha-helix is still main secondary structure. The influence of the polymer on protein structure was weaker at neutral than acidic pH. Interaction with poly(HEMA-co-SS) disrupted alpha-gliadin conformation and self-association to form new complex particles at neutral pH. This study provides insight into the mechanism of poly(HEMA-co-SS)/alpha-gliadin interaction and the polymer as alpha-gliadin sequestering agents in the supportive treatment of celiac disease.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.239

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 head0.025
GPT teacher head0.303
Teacher spread0.278 · 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

Citations34
Published2008
Admission routes1
Has abstractyes

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