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Record W3165618543 · doi:10.3724/sp.j.1123.2020.03001

[Determination of the binding of natural products to the human c-myb oncogene promoter G-quadruplex DNA by capillary electrophoresis and electrospray ionization mass spectrometry].

2020· article· en· W3165618543 on OpenAlexaff
Shuangshuang Wang, Yunhe Yang, Shanshan Fan, Huihui Li, Danya David

Bibliographic record

VenuePubMed · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChemistryMYBElectrospray ionizationCapillary electrophoresisG-quadruplexTranscription factorDNAMass spectrometryMolecular biologyChromatographyBiochemistryBiologyGene

Abstract

fetched live from OpenAlex

L/mol. Nuciferine's binding to G4 DNA showed a linear increasing trend due to nonspecific binding; thus nuciferine is a nonspecific binder. Although pseudolaric acid B showed high affinity for the c-myb G4 DNA and 1:1 and 1:2 G4-bound complex ions were observed in ESI-MS measurements, the PACE-FA results indicated that pseudolaric acid B did not bind to target G4 DNA in free solution. Therefore, scopolamine butylbromide could be the best candidate to regulate the transcription of the c-myb oncogene, and is expected to be a precursor for anticancer drugs. In this work, PACE-FA has allowed for significant improvements to the conventional CE-FA technique. This combination of PACE-FA and ESI-MS not only reduced the time needed for binding analysis, but also improved the accuracy and specificity of the affinity analysis compared to conventional binding approaches. Furthermore, this combination could be used to screen other targeted drug candidates and to evaluate their interaction mechanisms.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2020
Admission routes1
Has abstractyes

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