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Record W4251042226 · doi:10.1002/9783527814527.ch24

Light‐Utilizing <scp>DNA</scp> zymes

2021· other· en· W4251042226 on OpenAlexaff
Adam Barlev, Dipankar Sen

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPhotolyaseFlavin groupCofactorPhotosynthesisDNAEnzymePyrimidine dimerChemistryDimerBiochemistryDNA repairPhotochemistryBiology

Abstract

fetched live from OpenAlex

The geological record indicates that the evolution of photoenzymes that produced oxygen completely changed the composition of the earth's atmosphere at a relatively early stage of life's evolution. Besides photosynthetic organisms, all clades of life show in their evolutionary history photolyase enzymes, which repair a common type of photoinduced DNA damage. The existing literature on photoDNAzymes is relatively new. The repair rates observed when the distance between the flavin and the dimer was increased were only weakly affected, reiterating the long-range charge-transfer capability inherent in DNA duplexes. Flavin and flavin-like cofactors used by photolyases are obvious choices for the development of future photoDNAzymes, but there have been significant challenges in their use. Photolyases notably use two cofactors, with one specializing in harvesting light and transferring the harvested energy to another cofactor that specializes in photocatalysis.

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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.006

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 head0.010
GPT teacher head0.267
Teacher spread0.257 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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