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Record W4386355651 · doi:10.32920/24076302.v1

Synthesis of a Novel Symmetrical Photocleavable Group for the Efficient Capture and Release of Cysteine Sulfenic Acids on Oxidized Proteins From Streptavidin Beads

2023· preprint· en· W4386355651 on OpenAlexaff
Thershan Satkunarajah

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSulfenic acidChemistryStreptavidinAzideCysteineBiotinReactivity (psychology)Combinatorial chemistryBiotinylationPericyclic reactionThiolPhotochemistryStereochemistryBiochemistryOrganic chemistryEnzyme

Abstract

fetched live from OpenAlex

<p>Cysteine sulfenic acids are thought to be key intermediates in protein oxidation but are difficult to study due to their high reactivity and transient nature. The beneficial properties of these oxidative events have been underexplored due to earlier studies primarily focusing on cell damage and death; however, increasing evidence suggests various physiological processes rely on these oxidative modifications. Previous work has shown that bicyclo[6.1.0]non-4-ynes (BCNs) can label sulfenic acids with high reaction kinetics via a pericyclic reaction, while also enabling copper-free click chemistry, allowing for a biotin-azide tag to be installed. However, due to the strong biotin- streptavidin interaction, these probes suffer from poor protein recovery and sub-optimal performance during mass-spectrometric analysis, respectively. Efforts towards incorporating the BCNs into a novel symmetrical photocleavable group based on 1,4-naphthoquinone, or their use in combination with photocleavable biotin-azide are proposed to improve upon these limitations and are presented in this thesis. </p>

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.001
Research integrity0.0010.001
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 head0.037
GPT teacher head0.271
Teacher spread0.233 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same topicClick Chemistry and ApplicationsFrench-language works237,207