Key result
An automated docking protocol successfully explained structure-activity relationships for congeneric sertindole derivatives and structurally unrelated hERG channel blockers.
A novel automated docking protocol improves the prediction of binding interactions for hERG channel blockers, which is relevant for assessing proarrhythmic risk in drug development.
A docking protocol aimed at obtaining a consistent qualitative and quantitative picture of binding for a series of hERG channel blockers is presented. To overcome the limitations experienced by standard procedures when docking blockers at hERG binding site, we designed a strategy that explicitly takes into account the conformations of the channel, their possible intrinsic symmetry, and the role played by the configurational entropy of ligands. The protocol was developed on a series of congeneric sertindole derivatives, allowing us to satisfactorily explain the structure-activity relationships for this set of blockers. In addition, we show that the performance of structure-based models relying on multiple-receptor conformations statistically increases when the protein conformations are chosen in such a way as to capture relevant structural features at the binding site. The protocol was then successfully applied to a series of structurally unrelated blockers.
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Martino et al. (2012) studied this question. Automated docking protocol vs. Standard docking procedures was evaluated on Qualitative and quantitative picture of binding for hERG channel blockers. An automated docking protocol successfully explained structure-activity relationships for congeneric sertindole derivatives and structurally unrelated hERG channel blockers.
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