Machine Learning-aided Generative Molecular Design

This article discusses the use of machine learning in accelerating early-stage drug discovery by combining molecule generation and filtering steps. It also addresses the challenges in designing machine learning models that can satisfy medicinal chemists and provides an overview of current state-of-the-art methodologies and practical applications.