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Record W2625968815 · doi:10.1073/pnas.1700868114

Ca <sup>2+</sup> -induced movement of tropomyosin on native cardiac thin filaments revealed by cryoelectron microscopy

2017· article· en· W2625968815 on OpenAlexaff
Cristina M. Risi, Jamie Eisner, Betty Belknap, David H. Heeley, Howard D. White, Gunnar F. Schröder, Vitold E. Galkin

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsMemorial University of Newfoundland
FundersAmerican Heart Association
KeywordsTropomyosinActinBiophysicsMicroscopyChemistryCrystallographyMaterials scienceBiologyPhysicsBiochemistryOptics

Abstract

fetched live from OpenAlex

Significance Muscle contraction is required for critical physiological functions. It relies on the interaction of myosin motors with the thin filament (TF), which is regulated through a translocation of tropomyosin on the surface of F-actin by the troponin complex in response to Ca 2+ . The lack of high-resolution structure of the TF under relaxing (low-Ca 2+ ) and activating (high-Ca 2+ ) conditions impairs our understanding of the mechanism of cardiac muscle regulation. Here we report high-resolution structures of the native cardiac TF under relaxing and activating conditions. Our data lead to a model for cardiac TF regulation by Ca 2+ levels that is an important step in understanding how the components of cardiac muscle work in concert to maintain healthy heart functions.

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 score0.003

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.339
Teacher spread0.303 · 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

Citations75
Published2017
Admission routes1
Has abstractyes

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