In order to assess the performance of linking two fragments together, we re-implement the same experiment as for LinkINVENT . LinkINVENT is the same encoderdecoder RNN as used in LibINVENT, however, the model is trained to translate two fragments into a linker. Similarly, we pre-train a decoder-only RNN using the same model hyperparameters and training dataset but extracting unique complete (nonsliced) molecules. This experiment is divided into three sub-experiments: 1) to control linker length, 2) to control linker linearity and 3) to control linker flexability. All RL objectives were re-implemented and available to use with MolScore .