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Record W3009883572 · doi:10.1139/cjc-2020-0029

Identification of a C2′<b>-</b>fluorinated SAH analogue

2020· article· en· W3009883572 on OpenAlexafffundvenue
Marc-Olivier Labbé, Fengling Li, Irene Chau, Zi-Jian Xiong, Vijayaratnam Santhakumar, Starr Dostie, Yvan Guindon

Bibliographic record

VenueCanadian Journal of Chemistry · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversity of OttawaUniversity of TorontoStructural Genomics ConsortiumUniversité de MontréalMontreal Clinical Research Institute
FundersNovartis PharmaOntario Ministry of Research, Innovation and ScienceFundação de Amparo à Pesquisa do Estado de São PauloOntario Genomics InstituteEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAGenome CanadaOntario GenomicsNatural Sciences and Engineering Research Council of CanadaPfizer
KeywordsChemistryMoietyStereochemistryNucleosideMethyltransferaseMethylationAmine gas treatingFormylationLysineCofactorBiochemistryEnzymeDNAAmino acidOrganic chemistry

Abstract

fetched live from OpenAlex

The progress towards the development of a nucleoside analogue with inhibitory properties against SETDB1, a histone methyltransferase (HMT), is described. Based on the structure of the natural cofactor S-adenosyl-L-methionine (SAM), novel fluorinated nucleoside analogues were synthesized. Two of these compounds bearing a C2′-F and C5′-primary amine moiety showed moderate inhibition of SETDB1, a lysine HMT for which there is only one reported inhibitor.

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 score0.002
Threshold uncertainty score0.007

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.222
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
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
Published2020
Admission routes3
Has abstractyes

Explore more

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