Evolutionary features for task-specific machine-learning applications

In the May issue of Chem , Pflu<spacing diaeresis> ger et al. presented an automated, evolutionary approach to constructing feature vectors for molecules. The predictions from EvoMPF are on par with those of most state-of-the-art methods for a broad array of prediction tasks, can be implemented simply, and are inherently chemically interpretable.