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The human ether\u2010\u00e0\u2010go\u2010go\u2010related gene (hERG) channel blocking potency is regarded as a surrogate marker of the proarrhythmic risk at the early stages of the research and development process. However, there is no straight correlation between QT prolongation and TdP occurrence probability, and hERG inhibition potential can be an inadequate predictor of QT prolongation. The L\u2010type calcium channel plays a pivotal role in cardiomyocytes' physiology. Thus the main aim of this study was to develop a predictive model for drug\u2010triggered CaL channel inhibition and also the assessment of drug\u2013multichannel interaction effects on the heart rate\u2010corrected QT interval. The data set, consisting of 123 records describing <jats:italic>in vitro<\/jats:italic> experimental settings, measured IC<jats:sub>50<\/jats:sub> values and calculated physico\u2010chemical properties for 72 various chemicals, was collected. The models were tested in a modified 10\u2010fold cross\u2010validation procedure. The generalization ability of the best model was as follows: root mean squared error (RMSE)\u2009=\u20091.10, normalized root mean squared error (NRMSE)\u2009=\u200916.09%. Out of the 10 most important variables, 5 described conditions of the <jats:italic>in vitro<\/jats:italic> experiments thus their description and experiment's conditions standardization might be the key to the models better performance. The simulations performed with the ToxComp system showed that the hERG block alone causes concentration\u2010dependent QT prolongation, whereas when multichannel block is regarded, the effect could be reversed. For that reason, the multichannel interaction of tested compounds should be taken into consideration, in order to make the proarrhythmic risk assessment more reliable. 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