SYSTEMS AND METHODS FOR PREDICTING CARDIOTOXICITY OF MOLECULAR PARAMETERS OF A COMPOUND BASED ON MACHINE LEARNING ALGORITHMS

摘要

Systems and methods are provided for predicting cardiotoxicity of molecular parameters of a compound. A computer can provide as input to a machine learning algorithm the molecular parameters of the compound. The molecular parameters can include at least structural information about the compound. The machine learning algorithm can have been trained using respective molecular parameters of compounds known to have cardiotoxicity and of compounds known not to have cardiotoxicity. The computer can receive as output from the machine learning algorithm a representation of the predicted cardiotoxicity of each molecular parameter of at least a subset of the molecular parameters of the compound.