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Updated: May 3, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Assessing hERG pore models as templates for drug docking using published experimental constraints: the inactivated
Christopher E Dempsey1, Dominic Wright, Charlotte K Colenso
1School of Biochemistry, Medical Sciences Building, University of Bristol , University Walk, Bristol BS8 1TD, U.K.
Many structurally and therapeutically diverse drugs interact with the human heart K+ channel hERG by binding within the K+ permeation pathway of the open channel, leading to drug-induced 'long QT syndrome'. Drug binding to hERG is often stabilized by inactivation gating. In the absence of a crystal structure, hERG pore homology models have been used to characterize drug interactions. Here we assess potentially inactivated states of the bacterial K+ channel, KcsA, as templates for inactivated state hERG pore models in the context of drug binding using computational docking. Although Flexidock and GOLD docking produced low energy score poses in the models tested, each method selected a MthK K+ channel-based model over models based on the putative inactivated state KcsA structures for each of the 9 drugs tested. The variety of docking poses found indicates that an optimal arrangement for drug binding of aromatic side chains in the hERG pore can be achieved in several different configurations. This plasticity of the drug "binding site" is likely to be a feature of the hERG inactivated state. The results demonstrate that experimental data on specific drug interactions can be used as structural constraints to assess and refine hERG homology models.
Many structurally and therapeutically diverse drugs interact with the human heart K+ channel hERG by binding within the K+ permeation pathway of the open channel, leading to drug-induced 'long QT syndrome'. Drug binding to hERG is often stabilized by inactivation gating. In the absence of a crystal structure, hERG pore homology models have been used to characterize drug interactions. Here we assess potentially inactivated states of the bacterial K+ channel, KcsA, as templates for inactivated state hERG pore models in the context of drug binding using computational docking. Although Flexidock and GOLD docking produced low energy score poses in the models tested, each method selected a MthK K+ channel-based model over models based on the putative inactivated state KcsA structures for each of the 9 drugs tested. The variety of docking poses found indicates that an optimal arrangement for drug binding of aromatic side chains in the hERG pore can be achieved in several different configurations. This plasticity of the drug "binding site" is likely to be a feature of the hERG inactivated state. The results demonstrate that experimental data on specific drug interactions can be used as structural constraints to assess and refine hERG homology models.
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