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Development and Evaluation of an in Silico Model for hERG Binding

https://doi.org/10.1021/ci050308f
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Prediction of hERG potassium channel affinity by traditional and hologram qSAR methods
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Generalized Fragment-Substructure Based Property Prediction Method
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Similarity to Molecules in the Training Set Is a Good Discriminator for Prediction Accuracy in QSAR
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A structural basis for drug-induced long QT syndrome
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Statistical Learning Theory
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Three-Dimensional Quantitative Structure-Activity Relationship for Inhibition of Human Ether-a-Go-Go-Related Gene Potassium Channel
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Molecular Genetic Insights into Cardiovascular Disease
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Mouse Models of Atherosclerosis
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Physicochemical Determinants for Drug Induced Blockade of HERG Potassium Channels: Effect of Charge and Charge Shielding
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Advances in Neural Information Processing Systems 14
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Duality, Geometry, and Support Vector Regression

What points at this work

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