Navigating molecular OOD-ness

Abstract

Machine learning methods for drug discovery often face difficulties in identifying novel bioactive molecules that do not belong to the training data distribution. A new metric can now quantify chemical distribution shift and evaluate the generalization capability of molecular machine learning models.