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Record W2041693601 · doi:10.2174/157016005774913130

Genomics and Proteomics of Nucleoside Transporters

2005· article· en· W2041693601 on OpenAlexaff
German Reyes, Imogen R. Coe

Bibliographic record

VenueCurrent Pharmacogenomics · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical and Molecular Research
Canadian institutionsYork University
Fundersnot available
KeywordsNucleosideProteomicsComputational biologyNucleoside analogueBiologyGenomicsTransporterNucleoside transporterFunction (biology)Functional genomicsGeneBiochemistryGeneticsGenome

Abstract

fetched live from OpenAlex

Nucleoside transporters are a group of poorly understood membrane proteins involved in the movement of nucleoside and many nucleoside analogs across cell membranes. Nucleoside analog drugs are used routinely in various types of chemotherapy. These drugs have been widely used for many years with good results. However, variability in patient response and both de novo and acquired resistance continue to be major obstacles in effective chemotherapy. In combination with the development of new nucleoside analog drugs, a concerted effort is underway to improve our understanding of the genomics and proteomics of nucleoside transporters in order to identify the factors that influence individual patient responses. Here, we describe recent important contributions to our understanding of the genomics and proteomics of this group of proteins with reference to drug bioavailability. In addition, we discuss future approaches, which will provide further insights into nucleoside transporters structure and function. Keywords: ENT genes, Promoter Analyses, transcriptional regulators, amino-terminal motifs, nucleoside transport protein

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.153
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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 teacher head, 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
Published2005
Admission routes1
Has abstractyes

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