The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.
QT prolongation through hERG K+ channel blockade: Current knowledge and strategies for the early prediction during drug development
Abstract
Prolongation of the QT interval of the electrocardiogram is a typical effect of Class III antiarrhythmic drugs, achieved through blockade of potassium channels. In the past decade, evidence has accrued that several classes of drugs used for non‐cardiovascular indications may prolong the QT interval with the same mechanism (namely, human ether‐à‐go‐go‐related gene (hERG) K+ channel blockade). The great interest in QT prolongation is because of several reasons. First, drug‐induced QT prolongation increases the likelihood of a polymorphous ventricular arrhythmia (namely, torsades de pointes, TdP), which may cause syncope and degenerate into ventricular fibrillation and sudden death. Second, the fact that several classes of drugs, such as antihistamines, fluoroquinolones, macrolides, and neuroleptics may cause the long QT syndrome (LQTS) raises the question whether this is a class effect (e.g., shared by all agents of a given pharmacological class) or a specific effect of single agents within a class. There is now consensus that, in most cases, only a few agents within a therapeutic class share the ability to significantly affect hERG K+ channels. These compounds should be identified as early as possible during drug development. Third, QT prolongation and interaction with hERG K+ channels have become surrogate markers of cardiotoxicity and have received increasing regulatory attention. This review briefly outlines the mechanisms leading to QT prolongation and the different strategies that can be followed to predict this unwanted effect. In particular, it will focus on the approaches recently proposed for the in silico screening of new compounds. © 2004 Wiley Periodicals, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Dewar, M. J. S., Zoebisch, E. G., Healy, E. F., & Stewart, J. J. P. (1985) · Journal of the American Chemical Society · doi:10.1021/ja00299a024 · Cited by 13,074
The Structure of the Potassium Channel: Molecular Basis of K + Conduction and Selectivity
Doyle, D. A., Cabral, J. M., Pfuetzner, R. A., Kuo, A., Gulbis, J. M., Cohen, S. L., Chait, B. T., & MacKinnon, R. (1998) · Science · doi:10.1126/science.280.5360.69 · Cited by 6,807
Mohamadi, F., Richards, N. G. J., Guida, W. C., Liskamp, R., Lipton, M., Caufield, C., Chang, G., Hendrickson, T., & Still, W. C. (1990) · Journal of Computational Chemistry · doi:10.1002/jcc.540110405 · Cited by 3,757
Semianalytical treatment of solvation for molecular mechanics and dynamics
Still, W. C., Tempczyk, A., Hawley, R. C., & Hendrickson, T. (1990) · Journal of the American Chemical Society · doi:10.1021/ja00172a038 · Cited by 3,643
Goodford, P. J. (1985) · Journal of Medicinal Chemistry · doi:10.1021/jm00145a002 · Cited by 2,634
Sanguinetti, M. C., Jiang, C., Curran, M. E., & Keating, M. T. (1995) · Cell · doi:10.1016/0092-8674(95)90340-2 · Cited by 2,423
p-σ-π Analysis. A Method for the Correlation of Biological Activity and Chemical Structure
Hansch, C., & Fujita, T. (1964) · Journal of the American Chemical Society · doi:10.1021/ja01062a035 · Cited by 2,313
The Effect of Structure upon the Reactions of Organic Compounds. Benzene Derivatives
Hammett, L. P. (1937) · Journal of the American Chemical Society · doi:10.1021/ja01280a022 · Cited by 2,249
ADMET in silico modelling: towards prediction paradise?
van de Waterbeemd, H., & Gifford, E. (2003) · Nature Reviews Drug Discovery · doi:10.1038/nrd1032 · Cited by 1,863
X-ray structure of a voltage-dependent K+ channel
Jiang, Y., Lee, A., Chen, J., Ruta, V., Cadene, M., Chait, B. T., & MacKinnon, R. (2003) · Nature · doi:10.1038/nature01580 · Cited by 1,797
Cited by
A Small-Molecule Oral Agonist of the Human Glucagon-like Peptide-1 Receptor
Griffith, D. A., Edmonds, D. J., Fortin, J.-P., Kalgutkar, A. S., Kuzmiski, J. B., Loria, P. M., Saxena, A. R., Bagley, S. W., Buckeridge, C., Curto, J. M., et al. (2022) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01856 · Cited by 192
Metadata
- Authors
- Recanatini, M., Poluzzi, E., Masetti, M., Cavalli, A., & De Ponti, F.
- Venue
- Medicinal Research Reviews
- Publisher
- Wiley
- Published
- 2004-08-16
- Volume
- 25
- Issue
- 2
- Pages
- 133-166
- ISSN
- 0198-6325 (ISSN-L)
- 1098-1128
- OpenAlex
- W2107375130
- Cited by
- 285
- References
- 131
- FWCI
- 11.98
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: QT prolongation through hERG K+ channel blockade: Current knowledge and strategies for the early prediction during drug development. https://app.cochat.ai/papers/10.1002/med.20019
- The paper
- Recanatini, M., Poluzzi, E., Masetti, M., Cavalli, A., & De Ponti, F. (2005). QT prolongation through hERG K+ channel blockade: Current knowledge and strategies for the early prediction during drug development. Medicinal Research Reviews. https://doi.org/10.1002/med.20019
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.