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Record W2518147233 · doi:10.1039/c6ob01371f

Photo-cleavable nucleotides for primer free enzyme mediated DNA synthesis

2016· article· en· W2518147233 on OpenAlexafffund
Anu Stella Mathews, Haikang Yang, Carlo Montemagno

Bibliographic record

VenueOrganic & Biomolecular Chemistry · 2016
Typearticle
Languageen
FieldMaterials Science
TopicPhotochromic and Fluorescence Chemistry
Canadian institutionsAlberta Glycomics CentreAlberta Hospital EdmontonUniversity of Alberta
FundersAlberta Innovates - Technology Futures
KeywordsChemistryNucleotidePrimer (cosmetics)DNAEnzymeStereochemistryBiochemistryCombinatorial chemistryGeneOrganic chemistry

Abstract

fetched live from OpenAlex

The synthesis, characterization and potential application of eight 3'-O modified 2'-deoxyribonucleoside triphosphates (dNTPs) are discussed. These nucleotide analogues are modified by capping the 3'-OH with a photolabile protecting group which can temporarily cease DNA strand growth and can smoothly reinitiate the growth by the photodecomposition of the protecting group and setting the 3'-OH of dNTPs free to propagate. The synthesis of 3'-O-(2-nitrobenzyl)-2'-deoxyribonucleoside triphosphates (NB-dNTPs) and 3'-O-(4,5-dimethoxy-2-nitrobenzyl)-2'-deoxyribonucleoside triphosphates (DMNB-dNTPs) is discussed in detail with structural confirmation using NMR. The UV-cleaving studies are monitored and quantified using LCMS and (1)H NMR spectral traces. The synthesised nucleotides are employed for terminating and reinitiating template-less DNA synthesis, using primer independent Terminal Deoxynucleotidyl Transferase (TdT) enzyme. The use of this photolabile nucleotide in one step stop-start DNA synthesis is a novel strategy towards the precise assembly of dNTPs with the potential to reinforce present technologies.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.007
GPT teacher head0.206
Teacher spread0.199 · 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

Citations48
Published2016
Admission routes2
Has abstractyes

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