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POM-1 is a Non-Specific ATPase Inhibitor that Competitively Inhibits Luciferase

2025· article· en· W4411594492 on OpenAlexaffabout
Damon Poburko

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicATP Synthase and ATPases Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsLuciferaseATPaseChemistryCell biologyBiochemistryBiologyEnzymeTransfectionGene

Abstract

fetched live from OpenAlex

Introduction/Methods: Sodium polyoxotungstate (POM-1) is often either a drug of interest or suggested as a potential exonuclease ATPase inhibitor to aid ATP measurements using assays, and genetically encoded reporters. POM-1 is also currently being clinically investigated as a cancer therapy due to its inhibition of NTPDases 1, 2, 3 which hydrolyze ATP and its related purines. There are concerns that POM-1 may non-specifically affect kinases, phosphatases and ATPases which presents a significant source of error when using ATP assays, reporters, and investigating the efficacy and safety of POM-1 as a therapeutic. We hypothesized that POM-1 would provide an inexpensive ecto-ATPase inhibitor to replace ARL67156 in the measurement of ATP by luciferase assay. Results: While POM-1 was significantly less expensive ($0.07/experiment) than ARL67156 ($68/experiment), POM-1 competitively inhibits luciferase (oxidoreductase) activity. The addition of POM-1 significantly reduced firefly luciferase activity (luminescence) in a dose-dependent manner, and increasing ATP concentrations recovered enzyme activity. POM-1 half-maximal inhibitory concentration (IC 50 ) for luciferase ranged from 1.3 µM in the presence of 10 nM ATP, to 36.3 µM in the presence of 100 µM ATP. Conclusions: Reports of POM-1 Ki range from 0.8 μM to 2.58 μM for NTPDase 1, 3.29 μM to 28.8 μM NTPDase 2, and 663 nM to 3.26 μM for NTPDase 3. Our tested ranges of POM-1 IC 50 supports growing concerns on POM-1’s non-specific actions, and should be noted when investigating its use as a therapeutic. These non-specific effects may also prevent its use with current measurement and diagnostic tools that investigate ATP release. This work was supported by grant RGPIN-2019-04925 from the Natural Sciences and Engineering Research Council (NSERC) of Canada. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.016
GPT teacher head0.290
Teacher spread0.275 · 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
Published2025
Admission routes2
Has abstractyes

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