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Record W2557675705 · doi:10.1107/s2053273314085052

Piecing together the ryanodine receptor with crystal structures and cryo-EM

2014· article· en· W2557675705 on OpenAlexaff
Kelvin Lau, Filip Van Petegem

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRyanodine receptorEndoplasmic reticulumBiophysicsRyanodine receptor 2MutantReceptorChemistryCalciumCell biologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

The ryanodine receptor is the largest ion channel known. It is responsible for the release of calcium ions from the intracellular stores of the sarcoplasmic/endoplasmic reticulum. The release of calcium signals for a wide assortment of cellular processes, most importantly, muscle contraction in skeletal and cardiac tissue. Only two regions of this receptor have been described by high-resolution crystal structures. In addition these two domains have been docked into low-resolution cryo-EM structures. Here, I will present a x-ray crystal structure of a novel domain from the ryanodine receptor of both skeletal and cardiac isoforms. Stability of the wild-type versus those of mutants will be discussed as well as the implications of the structure of a mutant linked to cardiac hypertrophy and a loss of function phenotype. The docked location of the domain within the whole channel may suggest its functional properties.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.002

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 head0.006
GPT teacher head0.225
Teacher spread0.219 · 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
Published2014
Admission routes1
Has abstractyes

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