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Record W4319731090 · doi:10.3791/64821

Studying Protein Arginine Methylation: Approaches and Methods

2023· editorial· en· W4319731090 on OpenAlexafffund
Dalia Baršytė-Lovejoy

Bibliographic record

VenueJournal of Visualized Experiments · 2023
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsUniversity of Toronto
FundersOntario Genomics InstituteEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAOntario GenomicsGenome CanadaMcGill UniversityGenentechBayerNatural Sciences and Engineering Research Council of CanadaPfizerBristol-Myers Squibb
KeywordsMethylationArginineComputational biologyDNA methylationBiologyCell biologyComputer scienceBioinformaticsGeneticsAmino acidGene expressionGene

Abstract

fetched live from OpenAlex

ARTICLES DISCUSSED: Hutchinson, A., Seitova, A. Production of recombinant PRMT proteins using the Baculovirus expression vector system. Journal of Visualized Experiments. (173), doi: 10.3791/62510 (2021). Maniaci, M., Marini, F., Massignani, E., Bonaldi, T. A mass spectrometry-based proteomics approach for global and high-confidence protein R-Methylation analysis. Journal of Visualized Experiments. (182), doi: 10.3791/62409 (2022). Habisch, H., Zhang, F., Zhou, Q., Madl, T. Exploring the arginine methylome by nuclear magnetic resonance spectroscopy. Journal of Visualized Experiments. (178), doi: 10.3791/63245 (2021). Szewczyk, M. M., Vu, V., Barsyte-Lovejoy, D. Quantitative methods to study protein arginine methyltransferase 1-9 activity in cells. Journal of Visualized Experiments. (174), doi: 10.3791/62418 (2021). Poulard, C., Jacquemetton, J., Valantin, J., Treilleux, I., Le Romancer, M. Proximity ligation assay allows the detection, localization, and quantification of protein arginine methylation in fixed tissue. Journal of Visualized Experiments. (185), doi: 10.3791/64294 (2022).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.459
Teacher spread0.405 · 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 designBench or experimental
Domainnot available
GenreEditorial

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

Citations1
Published2023
Admission routes2
Has abstractyes

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