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Updated: Mar 28, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
In silico assessment of kinetics and state dependent binding properties of drugs causing acquired LQTS
William Lee1, Stefan A Mann1, Monique J Windley2
1Victor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW 2010, Australia; St Vincent's Clinical School, University of New South Wales, NSW 2052, Australia.
Insights
Drug interactions with the Kv11.1 (hERG) channel can cause dangerous heart arrhythmias. Current IC50 measurements are insufficient; drug binding kinetics and state-dependent affinity better predict cardiac action potential prolongation and arrhythmia risk.
Area of Science:
- Cardiovascular pharmacology
- Computational toxicology
- Ion channel research
Background:
- The Kv11.1 (hERG) potassium channel mediates cardiac repolarization (IKr).
- Drug-induced hERG channel block can lead to acquired long QT syndrome and fatal arrhythmias.
- Current pre-clinical drug safety assessment relies on IC50 (concentration for 50% current block).
Purpose of the Study:
- To investigate if drug binding kinetics and state-dependent affinity influence cardiac action potential prolongation independently of IC50.
- To determine if these factors better predict arrhythmia risk than IC50 alone.
Main Methods:
- Utilized an in silico (computational) approach.
- Modeled drug interactions with the Kv11.1 channel, considering binding/unbinding kinetics and affinity for different channel states (open, inactivated).
Main Results:
- Faster drug binding kinetics and higher affinity for the open state (relative to inactivated) correlated with greater action potential prolongation.
- These kinetic and state-dependent properties, not captured by IC50, appear more arrhythmogenic.
Conclusions:
- IC50 measurements alone are inadequate for assessing hERG-related arrhythmia risk.
- Pre-clinical evaluation should incorporate drug binding kinetics and state-dependent affinity for Kv11.1.
- In silico models integrating these factors can improve prediction of drug-induced arrhythmia risk.
Abstract:
The Kv11.1 or hERG potassium channel is responsible for one of the major repolarising currents (IKr) in cardiac myocytes. Drug binding to hERG can result in reduction in IKr, action potential prolongation, acquired long QT syndrome and fatal cardiac arrhythmias. The current guidelines for pre-clinical assessment of drugs in development is based on the measurement of the drug concentration that causes 50% current block, i.e., IC50. However, drugs with the same apparent IC50 may have very different kinetics of binding and unbinding, as well as different affinities for the open and inactivated states of Kv11.1. Therefore, IC50 measurements may not reflect the true risk of drug induced arrhythmias. Here we have used an in silico approach to test the hypothesis that drug binding kinetics and differences in state-dependent affinity will influence the extent of cardiac action potential prolongation independent of apparent IC50 values. We found, in general that drugs with faster overall kinetics and drugs with higher affinity for the open state relative to the inactivated state cause more action potential prolongation. These characteristics of drug-hERG interaction are likely to be more arrhythmogenic but cannot be predicted by IC50 measurement alone. Our results suggest that the pre-clinical assessment of Kv11.1-drug interactions should include descriptions of the kinetics and state dependence of drug binding. Further, incorporation of this information into sophisticated in silico models should be able to better predict arrhythmia risk and therefore more accurately assess safety of new drugs in development.
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