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Record W3132361955 · doi:10.1002/smtd.202001180

An Ultrastable and Dense Single‐Molecule Click Platform for Sensing Protein–Deoxyribonucleic Acid Interactions

2021· article· en· W3132361955 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSmall Methods · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsCollege of Family Physicians of CanadaUniversity of Toronto
FundersHorizon 2020European Commission
KeywordsNucleoidDNAClick chemistryBiophysicsMoleculeChemistryHistoneEscherichia coliParticle (ecology)NanotechnologyBiochemistryCombinatorial chemistryMaterials scienceBiologyGene

Abstract

fetched live from OpenAlex

Abstract An ultrastable, highly dense single‐molecule assay ideal for observing protein–DNA interactions is demonstrated. Stable click tethered particle motion leverages next generation click‐chemistry to achieve an ultrahigh density of surface tethered reporter particles, and has low non‐specific interactions, is stable at elevated temperatures to at least 45 °C, and is compatible with Mg 2+ , an important ionic component of many regulatory protein–DNA interactions. Prepared samples remain stable, with little degradation, for >6 months in physiological buffers. These improvements enable the authors to study previously inaccessible sequence and temperature‐dependent effects on DNA binding by the bacterial protein, histone‐like nucleoid‐structuring protein, a global transcriptional regulator found in Escherichia coli . This greatly improved assay can directly be translated to accelerate existing tethered particle‐based, single‐molecule biosensing applications.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.127
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.364
Teacher spread0.325 · 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