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Record W2500221666 · doi:10.1002/9781119179320.ch8

Expanding The Nucleic Acid Chemist's Toolbox: Fluorescent Cytidine Analogs

2016· book-chapter· en· W2500221666 on OpenAlexaff
K. Chicas, Robert H. E. Hudson

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsWestern University
FundersFrancis Crick Institute
KeywordsNucleic acidNucleobaseOligonucleotideCombinatorial chemistryCytidineFluorescenceChemistryNucleosideDNAComputational biologyNanotechnologyBiochemistryBiologyMaterials science

Abstract

fetched live from OpenAlex

The important and complex nature of nucleic acids has generated a great demand for tools and techniques to examine their environmental properties for diagnostic and structural purposes. Of the many tools available, none may find the ease of use and potential for broad application as readily as fluorescent nucleoside analogs. This chapter briefly describes the fluorescent properties and characteristics of a generous selection of fluorescent C analogs focusing on those nucleoside/nucleobase modifications that adhere to the principles of minimal structural modification and non-interference with canonical base pairing properties. It illustrates a variety of C analogs that possess widely varying characteristics ranging from the environmentally sensitive to the environmentally insensitive that may be prepared through the relatively modest modification of cytosine. Fluorescent C analogs have been successfully incorporated into synthetic DNA, RNA, and PNA oligonucleotides, and there is a wide variety of applications, which have demonstrated their potential usefulness.

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)0.000
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.004

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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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
GenreMethods

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

Citations4
Published2016
Admission routes1
Has abstractyes

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