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Record W2015883754 · doi:10.1021/jm301273u

Order and Disorder: Differential Structural Impacts of Myricetin and Ethyl Caffeate on Human Amylase, an Antidiabetic Target

2012· article· en· W2015883754 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Medicinal Chemistry · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Production and Characterization
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsChemistryMyricetinFlavonolsActive siteBinding siteStereochemistryCombinatorial chemistryEnzymeBiochemistryPolyphenol

Abstract

fetched live from OpenAlex

The increasing prevalence of diabetes has accelerated the search for new drugs derived from natural sources. To define the functional features of two such families of compounds, the flavonols and the ethyl caffeates, we have determined the high-resolution structures of representative inhibitors in complex with human pancreatic α-amylase. Myricetin binds at the active site and interacts directly with the catalytic residues despite its bulky planar nature. Notably, it reduces the normal conformational flexibility of the adjacent substrate binding cleft. In contrast, bound ethyl caffeate acts by disordering precisely those polypeptide chain segments that make up the active site binding cleft. It also operates from binding sites far removed from the active site, a property not observed in any other class of human α-amylase inhibitor studied to date. Given the current inadequacy of drugs directed at diabetes, the use of optimized flavonols and ethyl caffeates may present an alternative therapeutic route.

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)0.000
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 score0.063
Threshold uncertainty score0.377

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 head0.008
GPT teacher head0.276
Teacher spread0.268 · 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