MétaCan
Menu
Back to cohort
Record W764317961

A High-Throughput Screening Campaign To Discover Novel Inhibitors Of Human L-glutamine: D-fructose-6-phosphate Amidotransferase 1

2013· dissertation· en· W764317961 on OpenAlexaboutno aff
Lisa A. Walter

Bibliographic record

VenueMacSphere (McMaster University) · 2013
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmino Acid Enzymes and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsGlutamine amidotransferaseGlutamineFructoseHigh-throughput screeningBiochemistryChemistryPharmacologyMedicineAmino acid
DOInot available

Abstract

fetched live from OpenAlex

Human L-glutamine:D-fructose-6-phosphate amidotransferase 1 (hGFAT1) is the first and rate-limiting enzyme of the hexosamine biosynthesis pathway (HBP) and is a potential target to help prevent secondary complications of type II diabetes. GFAT catalyzes the irreversible reaction between L-glutamine and D-fructose-6-phosphate to produce L-glutamate and D-glucosamine-6-phosphate. hGFAT1 is not commercially available and is difficult to obtain from natural sources. Thus, a recombinant method to generate and purify the enzyme was developed and is discussed herein. There are only a handful of known inhibitors available to study the enzyme and the majority of these are toxic, non-specific, or substrate analogs. A high-throughput screening campaign was undertaken in pursuit of novel hGFAT1 inhibitors. The bioactive subset of the Canadian Compound Collection was assayed in duplicate for GFAT inhibitory activity using a modified version of the Morgan-Elson assay. Out of the 3950 bioactives, 9 were identified as lead compounds. All of the compounds identified from the bioactive collection are novel GFAT inhibitors. A structure-activity relationship (SAR) analysis was performed on the lead compounds. Derivatives of the leads were also purchased or synthesized for inhibitory testing. Four distinct classes of compounds were identified as GFAT inhibitors: isoquinolines, aminothiazoles, pyridinones and quinones. The most potent lead compound elucidated from the SAR was dehydroiso-β-lapachone (IC50 1.5±0.5 µM). The mode of inhibition of dehydroiso-β-lapachone was determined to be non-competitive for both binding domains of recombinant hGFAT1. To validate the lead compounds as inhibitors of native hGFAT1 and to determine their cell permeability, a cell based assay was developed. HepG2 cell cultures were treated with an inhibitor and HBP metabolism was determined by measuring the levels of the end-product uridine diphosphate N-acetylglucosamine (UDP-GlcNAc). UDP-GlcNAc was separated and detected by UPLC-ESI-TOF-MS and metabolite levels were normalized to cell concentration. The leads, alloxan, lapachol and amrinone all displayed hGFAT1 inhibition in cell culture.

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)0.001
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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.214
Teacher spread0.206 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueMacSphere (McMaster University)Same topicAmino Acid Enzymes and MetabolismFrench-language works237,207