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Record W4396920438 · doi:10.1016/j.rechem.2024.101548

Design, synthesis and in vitro evaluation of novel sulfonylurea and sulfonylthiourea as ectonucleotidases inhibitors

2024· article· en· W4396920438 on OpenAlex
Abdullah Yahya Abdullah Alzahrani, Abdul Hameed, Abdul Rehman Khan, Julie Pelletier, Jean Sévigny, Jamshed Iqbal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResults in Chemistry · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdenosine and Purinergic Signaling
Canadian institutionsUniversité Laval
FundersDeanship of Scientific Research, King Khalid University
KeywordsSulfonylureaIn vitroCombinatorial chemistryChemistryPharmacologyBiochemistryMedicineInternal medicineInsulin

Abstract

fetched live from OpenAlex

Herein, we describe the design, synthesis and biological evaluation of a series of novel non-nucleotide sulfonylurea and sulfonylthiourea based small molecule inhibitors of h-ENPP1, h-ENPP3 and e5′NT. Among the tested compounds, 3b inhibited h-ENPP1 with an IC50 value of 0.11 ± 0.01 µM. Similarly, 4b was found to be the most potent inhibitor tested against h-ENPP3 with an IC50 value of 0.038 ± 0.02 µM. Compound 3a revealed remarkable inhibitory potency against human ecto-5′-nucleotidase with an IC50 value of 0.83 ± 0.01 µM while compound 3b possessed IC50 value of 0.26 ± 0.05 µM against rat ecto-5′-nucleotidase. Antiproliferative activity of novel sulfonylurea and sulfonylthiourea derivatives was investigated on breast cancer cell line (MCF-7). Compound 4a showed anticancer activity against MCF-7 cell line with percentage inhibition of 64 and successfully arrested the viability of cancer cells. The compounds were not cytotoxic to the normal cells derived from baby hamster kidney (BHK-21).

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.

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)0.001
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 score0.008
Threshold uncertainty score0.550

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.025
GPT teacher head0.287
Teacher spread0.262 · 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