We repeated the false positive and true positive discovery analysis using different molecular representations, as discussed in chapter 8 of the Supporting Information. On average, we observed roughly a 3% performance variation when using different molecular fingerprints and molecular descriptors (Figure ). This variability is consistent with the results observed when benchmarking molecular representations for property prediction, where different features can achieve best performance depending on the dataset and predicted endpoint.