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Record W2921644104 · doi:10.1002/slct.201803061

Benzo[b]carbazolediones Synthesis and Inhibitory Effects on Nucleotide Pyrophosphatases/Phosphodiesterases

2019· article· en· W2921644104 on OpenAlexaff
Hoang Huy, Syeda Abida Ejaz, Ricardo Molenda, Lars Ohlendorf, Alexander Villinger, Shafi Ullah Khan, Joanna Lecka, Jean Sévigny, Jamshed Iqbal, Peter Ehlers, Peter Langer

Bibliographic record

VenueChemistrySelect · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdenosine and Purinergic Signaling
Canadian institutionsUniversité Laval
FundersOrganisation for the Prohibition of Chemical Weapons
KeywordsMoietyChemistryStereochemistryPhosphodiesteraseSelectivityIsozymeYield (engineering)Indole testNucleotideBiochemistryEnzymeGeneCatalysis

Abstract

fetched live from OpenAlex

Abstract Two new and efficient methods for the synthesis of benzo[ b ]carbazolediones have been developed. Various derivatives were synthesized by either a three‐component one‐pot reaction or a two‐component domino reaction in moderate to good yield. Moreover, inhibition studies of these compounds against nucleotide pyrophosphatases (NPPs) have been carried out. An interesting and promising inhibitory effect was observed by the influence of different substituents. Substitution with a methyl group located at the indole moiety was found sensitive towards h ‐NPP1 (4b; IC 50 ±SEM = 0.57 ± 0.05 μM), while the unsubstituted derivative exhibited a higher sensitivity towards h ‐NPP3 (4a; IC 50 ± SEM = 0.16 ± 0.06 μM). Both derivatives presented non‐selective inhibition of both isozymes. Among all the derivatives, two derivatives with anisyl groups showed the highest selectivity towards h ‐NPP3 and no interaction with h ‐NPP1. Finally, the free binding energies were calculated and molecular docking studies were performed in order to provide an insight into putative binding modes of these inhibitors.

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 score0.012
Threshold uncertainty score0.971

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 head0.003
GPT teacher head0.199
Teacher spread0.196 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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