Evidence map›Paper›PMID 42782421›Full record

ArticleJournal of computer-aided molecular design2026

Design, synthesis, in vivo, and in silico evaluation of novel quinoline-based dihydrothiazoles as anticonvulsants.

Faiqa Noreen, Muhammad Hussain Ali, Rabia Basri, Farhan Siddique, Imran Imran, Faleh Alqahtani, Ajmal Khan, Halil Şenol, Zahid Shafiq

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Article in Journal of computer-aided molecular design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Faiqa Noreen *Institute of Chemical Sciences, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Muhammad Hussain Ali *Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Rabia BasriInstitute of Chemical Sciences, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Farhan SiddiqueDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan. drfarhansiddique@bzu.edu.pk.ORCID https://orcid.org/0000-0003-4358-5259
Imran ImranDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan. imran.ch@bzu.edu.pk.
Faleh AlqahtaniDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia.
Ajmal KhanNatural and Medical Sciences Research Center, University of Nizwa, P.O Box 33, Postal Code 616, Birkat Al Mauz, Nizwa, Oman.
Halil ŞenolDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Bezmialem Vakif University, 34093, Fatih, Istanbul, Türkiye.
Zahid ShafiqInstitute of Chemical Sciences, Bahauddin Zakariya University, Multan, 60800, Pakistan. zahidshafiq@bzu.edu.pk.

Funding

Ongoing Research Funding program ), King Saud University, Riyadh, Saudi Arabia. ORF-2025-131
6 · The paper itself

Abstract

The current study reports the synthesis of a novel series of quinoline-based dihydrothiazoles compounds, 3(a-j), and evaluates their potential as antiepileptic agents. Chemical synthesis, NMR, and SAR showed important insights and correlation with structure and biological efficacy. The in vivo anticonvulsant activity was assessed using an acute chemoconvulsant model, where seizures were induced by a single dose of pentylenetetrazole (PTZ 80 mg/kg). Electroencephalographic (EEG) recordings of treated animals showed a substantial reduction in epileptic activity compared to the PTZ-only group, indicating the compounds' anti-ictal efficacy. In vivo, compounds 3d and 3i significantly delayed the onset of tonic-clonic seizures (591.7 ± 13.2 s and 556.3 ± 29.8 s, respectively, vs. 53.7 ± 4.3 s for PTZ alone; p < 0.0001) and conferred complete protection from PTZ-induced mortality. Molecular docking against the GABA-A receptor (PDB: 8G5G) predicted favorable binding energies for the series (best estimated score: -8.4 kcal/mol for 3 g), supporting a plausible GABAergic mechanism for the observed in vivo activity. The network pharmacology mapping, along with GO-enrichment analysis, highlighted the critical regulators in epilepsy treatment. Based on in vivo findings, compounds 3d and 3i emerged as the most potent candidates, demonstrating superior anticonvulsant activity in comparison with the standard reference drugs. Molecular docking against the GABA-A receptor additionally identified 3 g as the top computational binder, which is discussed as a complementary in silico finding along with experimentally validated lead.

Indexed as

AnticonvulsantsDrug DesignQuinolinesSeizuresThiazolesAnimalsComputer SimulationElectroencephalographyMaleMiceMolecular Docking SimulationPentylenetetrazoleRatsReceptors, GABA-AStructure-Activity RelationshipAnticonvulsantsPentylenetetrazoleQuinolinesReceptors, GABA-AThiazolesAcute PTZ seizureAnticonvulsantElectroencephalogramMolecular dockingQuinoline-dihydrothiazole

Identifiers

PMID42782421

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.