• ActFound is trained on 1.6 million bioactivity data points across 35,644 assays to predict the bioactivity of compounds using pairwise meta-learning (predicting the relative difference)
• Encode Compounds as 2,048-dimensional Morgan fingerprints and use a Siamese Network
• Finetune with kNN-MAML to aid in the adaptation to unseen assays