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Record W2004270155 · doi:10.1135/cccc20061063

Synthesis and Biological Evaluation of Some 4'-C-(Hydroxymethyl)-α- and -β-D-Arabinofuranosyl Pyrimidine and Adenine Nucleosides

2006· article· en· W2004270155 on OpenAlexaff
Jean-François Griffon, Sue C. Shaddix, William B. Parker, Ashraf Al Madhoun, Staffan Eriksson, John A. Montgomery, John A. Secrist

Bibliographic record

VenueCollection of Czechoslovak Chemical Communications · 2006
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDeoxycytidine kinasePyrimidineNucleosideThymidine kinasePurineThymidineHydroxymethylBiochemistryChemistryKinaseNucleoside analogueAdenosine kinaseCytotoxicityPurine metabolismEnzymeStereochemistryAdenosine deaminaseDeoxycytidineBiologyDNAIn vitro

Abstract

fetched live from OpenAlex

A series of 4'-C-(hydroxymethyl) analogs of pyrimidine and purine nucleosides have been prepared utilizing standard methodologies, and the α and β anomers were separated. These analogs are part of our continuing efforts to identify new anticancer drugs as well as to explore the substrate specificities of these analogs with the initial activating enzymes in the metabolic pathway leading to nucleoside triphosphates. Although not cytotoxic to CCRF-CEM cells (an acute lymphoblastic leukemia of T-cell origin), many of these compounds were utilized as substrates for the various human nucleoside kinases, including deoxycytidine kinase, thymidine kinase 1, and thymidine kinase 2. Because the 4'-C-(hydroxymethyl) analog of arabinofuranosyl cytosine was identified as a good substrate with deoxycytidine kinase, its metabolism in CEM cells was evaluated. These results indicated that nucleosides with this modification could be activated in human cells without cytotoxicity, which suggested that they should be examined for antiviral activity.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.047
GPT teacher head0.300
Teacher spread0.253 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueCollection of Czechoslovak Chemical CommunicationsSame topicHIV/AIDS drug development and treatmentFrench-language works237,207