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Record W1992304220 · doi:10.2174/1874940201104010017

Identification of Potent and Selective Human Ecto-Nucleotide Pyrophosphatase/ Phosphodiesterase-3 (hNPP3) Inhibitors

2011· article· en· W1992304220 on OpenAlexfundno aff
Jamshed Iqbal

Bibliographic record

VenueThe Open Enzyme Inhibition Journal · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdenosine and Purinergic Signaling
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchMinisterial Standing Committee on Scientific and Technological Cooperation of the Organization of Islamic Cooperation
KeywordsPhosphodiesterasePyrophosphataseIdentification (biology)PyrophosphatasesChemistryBiochemistryCyclic nucleotide phosphodiesteraseComputational biologyBiologyPharmacologyEnzymeBotany

Abstract

fetched live from OpenAlex

NPP3 inhibitors are promising therapeutic agents due to their potential as anti-cancer, anti-metastatic and anti-neurodegenerative drugs. We have identified the first potent and selective inhibitors of human NPP3. We have also estimated the biochemical properties of the main NPP family members that can hydrolyse nucleotides using p-nitrophenyl-5'-thymidine monophosphate as substrate. K m values were found to be 20 4 and 15 6 M for human NPP1 and NPP3, respectively. Maximum velocity (V max ) values calculated for NPP1 and NPP3 were 12 2 and 5 1 nmol p-nitrophenol released/min/mg of crude protein, respectively. A series of benzothiazole derivatives and a series of 1,3,4-oxadiazole-2-thiones was tested on hNPP1 and hNPP3. Benzothiazoles were the most potent non competitive inhibitors of hNPP3 described to date. 1,3,4-oxadiazole-2-thiones were also identified as compounds which inhibited specifically NPP3 over NPP1. The most potent compound was further characterized and found to exhibit a non competitive mechanism of inhibition.

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)0.001
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 score0.024
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.261
Teacher spread0.239 · 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

Citations8
Published2011
Admission routes1
Has abstractyes

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