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Comparison of neural network architecture. a. The Baseline model is trained to only predict whether a compound is a natural product. b. NP_AUX predicts additional surface descriptors. c. autoencoder-like NP_AE aims to encode the ECFP into a neural fingerprint from which the ECFP should be reconstructed. Additionally, the fingerprint is used to predict whether a compound is a natural product.
