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Record W4237749435 · doi:10.1042/bio02803037

Flexing their muscles: the discovery of myosin phosphorylation

2006· article· en· W4237749435 on OpenAlexaff
Michael P. Walsh

Bibliographic record

VenueThe Biochemist · 2006
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMyosinSkeletal muscleMyosin light-chain kinasePhosphorylationBiochemistryChemistryElectrophoresisImmunoglobulin light chainCell biologyBiologyAnatomyGenetics

Abstract

fetched live from OpenAlex

The classic Biochemical Journal paper by Perrie, Smillie and Perry1, A phosphorylated light-chain component of myosin from skeletal muscle (1973), is a beautiful example of the long-term impact of rigorous biochemical detective work. In essence, the authors had previously observed that one of the three light-chain subunits of skeletal muscle myosin II detected by SDS/PAGE could be separated into two protein bands by charge gel electrophoresis in the presence of urea2. The key advance reported in this paper1 was the characterization of the difference between the two proteins: the species migrating more rapidly towards the anode was shown to be a phosphorylated form of the slower-migrating polypeptide. This discovery turned out to have profound biological implications.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.232
Teacher spread0.224 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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