1. A computer-implemented method for using a meta-model to generate a biological effect prediction for a test molecule, comprising: training a plurality of molecular property models using a first set of training data, wherein each trained molecular property model is configured to generate a molecular property model prediction regarding a property of interest of a test molecule modeled by each respective molecular property model; and training the meta-model using a second set of training data, wherein the trained meta-model is configured to generate the biological effect prediction regarding the test molecule based on the molecular property model predictions.