Thus Banana demonstrates immediate utility for virtual screening. Notably, since the model takes only 1.7 ms to evaluate a single ligand, it shows promise for screening ultralarge libraries such as Enamine's REAL Space. The model described in this paper is relatively simple, and we plan on exploring more advanced architectures in the future. We are especially interested in exploring models that hypothesize a 3D pose for the ligand to explain the activities. Perhaps having more domain knowledge about 3D space will improve model performance. Additionally, we hope to expand BigBind in the future. PubChem, for instance, has data from high-throughput screens not seen in ChEMBL. This data is noisy, but it is possible that adding it will improve model performance.