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Record W3196777863 · doi:10.26434/chemrxiv.11852529.v1

Selective Binding of a Lower Lysine Methylation State: An N,N-Dimethyllysine Selective Host Molecule and Its Use in Methyl Proteomics

2020· preprint· en· W3196777863 on OpenAlexafffund
Alok Shaurya, Graham A. E. Garnett, Melissa J. Starke, Mark Grasdal, Charlotte C. Dewar, Aman Dheri, Euan L. S. Thomson, Fraser Hof

Bibliographic record

VenueChemRxiv · 2020
Typepreprint
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMethylationUnobservableProteomicsLysineChemistryComputational biologyPosttranslational modificationCombinatorial chemistryBiochemistryBiologyAmino acidGene

Abstract

fetched live from OpenAlex

Post-translational modifications (PTMs) are critical controllers of protein functions. One set of important PTMs are N -methylated side chains of lysine and arginine, which exist in several functionally distinct forms. Multiple groups have demonstrated the selective binding of the most hydrophobic family member, trimethyllysine (Kme3), using various macrocyclic hosts, but the selective binding of lower methylation states remains challenging. Herein we report that a new calixarene modification – the installation of a sulfonate ester at the lower rim of p -sulfonatocalix[4]arene —efficiently generates a N,N -dimethyllysine (Kme2)-selective host. We characterize its binding behaviors in solution, and demonstrate its effectiveness in a pan-methyllysine enrichment step that enables the observation of hundreds of otherwise unobservable methylation marks in global proteomics experiments. The submission includes a manuscript preprint, supporting information, and a tabulation of proteomics data.

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)
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 score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.289
Teacher spread0.262 · 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
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

Citations2
Published2020
Admission routes2
Has abstractyes

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