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Record W3163738784 · doi:10.1107/s0108767320099183

Structural basis for the tight binding inhibition of <i>E. coli</i> CTP synthase inhibition by gemcitabine and its analogues

2020· article· en· W3163738784 on OpenAlexaff
Matthew J. McLeod, Todd Holyoak

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical and Molecular Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGemcitabineChemistryATP synthaseEnzyme inhibitionBasis (linear algebra)BiochemistryEnzymeBiologyGeneticsMathematicsCancer

Abstract

fetched live from OpenAlex

CTP synthase (CTPS) is a vital metabolic enzyme which controls the pyrimidine nucleotide pool by converting UTP into CTP with the use of ATP and ammonia. The E coli. variant is tightly regulated by the available nucleotides, where it is allosterically modulated by GTP and CTP. CTP binding can induce inhibitory filament formation, whereas the human isozyme forms active filaments upon UTP binding. Due to the in vivo importance of CTPS, variable regulatory mechanism across species, and previous data suggesting it is vital to the maintenance of various disease states, selective inhibition of CTPS may be a fruitful avenue to develop treatments for some of these illnesses. Most recently, a series of fluorinated CTP analogues were characterized for their inhibition against CTPS. Of these molecules, a doublely fluorinated at the 2' position of the ribose moiety had an at least 30x increased inhibition over its monofluorinated counterparts. Here, we determined the crystal structures of the various fluorinated inhibitors of CTPS to determine the molecular interactions and conformational changes contributing to the potent inhibition of the enzyme by these nucleotide analogues.

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 score0.006

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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
Published2020
Admission routes1
Has abstractyes

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Same venueActa Crystallographica Section A Foundations and AdvancesSame topicBiochemical and Molecular ResearchFrench-language works237,207