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Record W2911251990 · doi:10.1107/s0108767318099154

Defining the dynamics behind ryanodine receptor modulation by small molecules

2018· article· en· W2911251990 on OpenAlexaff
Kellie A. Woll, Filip Van Petegem

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical and Physical Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRyanodine receptorModulation (music)Dynamics (music)BiophysicsChemistryChemical physicsReceptorPhysicsBiologyBiochemistryAcoustics

Abstract

fetched live from OpenAlex

Ryanodine receptors (RyRs) are calcium release channels that mediate the rapid release of calcium from the endoplasmic/sarcoplasmic reticulum into the cytosol. RyRs are essential for excitation-contraction coupling and are modulated by numerous auxiliary proteins and small molecules. There are over 200 reported mutations within the channel's skeletal isoform (RyR1) associated with altered channel function. However the molecular mechanism by which these mutations influence RyR1 response to channel's many modulators remains unclear. We employed mass spectrometry and cryo-electron microscopy to identify the direct and long-range allosteric consequences of ligand binding within RyR1. We determined that ligand binding within RyR1 regions, despite being distinct from mutated residue, are likely responsible for the altered function. These findings further support that significant long-range cooperatively across RyR1 domains is required for normal channel activity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.233
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes1
Has abstractyes

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