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Record W2022127539 · doi:10.1016/j.febslet.2011.03.049

Phosphorylations: making the <i>Neurospora</i><i>crassa</i> circadian clock tick

2011· review· en· W2022127539 on OpenAlexfundno aff
Axel Diernfellner, Tobias Schafmeier

Bibliographic record

VenueFEBS Letters · 2011
Typereview
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéDeutsche Forschungsgemeinschaft
KeywordsNeurospora crassaCircadian clockNeurosporaCircadian rhythmBiologyPhosphorylationBacterial circadian rhythmsCell biologyPeriod (music)Oscillating geneGeneticsNeuroscienceGene

Abstract

fetched live from OpenAlex

Various post-translational modifications have been identified that play a role in the function of circadian clocks. Among these, phosphorylation has been investigated extensively. It was shown that phosphorylation influences half-life, subcellular localisation, transcriptional activity and conformation of clock components over the course of a circadian day. Recent observations also indicate that time-of-day specific sequential phosphorylation of the Neurospora crassa clock protein FREQUENCY is crucial for measuring time and thus for establishing a robust circadian rhythm. The circadian clock of Neurospora is one of the best-investigated molecular clocks to date. In this review, we summarise the data on what is known so far about the role of phosphorylation of proteins involved in the Neurospora circadian clock.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.079
GPT teacher head0.299
Teacher spread0.220 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations40
Published2011
Admission routes1
Has abstractyes

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