Evidence map›Paper›PMID 41623588›Full record

ArticleToxicology research2026

Advancing Torsades de pointes risk prediction: unveiling the role of drug metabolites through molecular docking.

Egemen Bilgin, Gulcin Tugcu, Ahmet Aydin

Abstract read
In one paragraph

Article in Toxicology research, 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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0cells of the map it votes in
0citing papers 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

3 authors.

Egemen BilginYeditepe University, Faculty of Pharmacy, Department of Toxicology, Kayışdağı, Istanbul 34755, Türkiye.
Gulcin TugcuYeditepe University, Faculty of Pharmacy, Department of Toxicology, Kayışdağı, Istanbul 34755, Türkiye.
Ahmet AydinYeditepe University, Faculty of Pharmacy, Department of Toxicology, Kayışdağı, Istanbul 34755, Türkiye.ORCID https://orcid.org/0000-0003-3499-6435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the risk of Torsades de Pointes (TdP) arrhythmia, focusing on the interactions of parent drugs and their metabolites with the Human ether-à-go-go-related gene (hERG) channel, which is crucial in cardiac electrical activity and TdP risk assessment. Using a dual-strategy molecular docking approach with AutoDock Vina and PatchDock, we analyzed clinically relevant ligand pairs: astemizole/desmethylastemizole, terfenadine/fexofenadine, and quetiapine/norquetiapine. Quantitative analysis revealed that high binding affinity does not always correlate with toxicity. For instance, the non-cardiotoxic metabolite fexofenadine exhibited a higher binding affinity (-9.3 kcal/mol) compared to its toxic parent terfenadine (-8.9 kcal/mol), but its safety is explained by physicochemical constraints (zwitterionic nature). Conversely, desmethylastemizole maintained high affinity (-9.2 kcal/mol) with a geometrically "relaxed" fit (Atomic Contact Energy: -338.36), rationalizing its sustained potency. Geometric analysis further distinguished quetiapine as a "steric blocker" (Contact Area: ~588 Å

Indexed as

cardiotoxicityhuman ether-à-go-go-related geneIn silico risk assessmentmolecular dockingTorsades de pointes

Identifiers

PMID41623588
PMCPMC12853304

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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.