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Record W2594451640 · doi:10.3390/molecules22030383

In Vitro Selection of DNA Aptamers that Binds Geniposide

2017· article· en· W2594451640 on OpenAlexafffund
Aozhe Zhang, Dingran Chang, Zijian Zhang, Fan Li, Weihong Li, Xu Wang, Yingfu Li, Qian Hua

Bibliographic record

VenueMolecules · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsMcMaster University
FundersChina Scholarship CouncilNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsAptamerGenipinGardenia jasminoidesGardeniaChemistrySystematic evolution of ligands by exponential enrichmentIn vitroDNAComputational biologyBiochemistryMolecular biologyBiologyTraditional Chinese medicineRNAMedicineGene

Abstract

fetched live from OpenAlex

Geniposide is a key iridoid glycoside from Gardenia jasminoides fructus widely used in traditional Chinese herbal medicine. However, detection of this small molecule represents a significant challenge mostly due to the lack of specific molecular recognition elements. In this study, we have performed in vitro selection experiments to isolate DNA aptamers that can specifically bind geniposide. Using a stringent selection procedure, we have isolated DNA aptamers that can distinguish geniposide from genipin and glucose, two structural analogs of geniposide. Two top aptamers exhibit low micromolar binding affinity towards geniposide, but show significantly reduced affinity to genipin and glucose. These aptamers have the potential to be further developed into analytical tools for the detection of geniposide.

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 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 score0.004
Threshold uncertainty score0.396

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 head0.011
GPT teacher head0.276
Teacher spread0.265 · 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.

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

Citations12
Published2017
Admission routes2
Has abstractyes

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