Machine Learning for Molecular Activity Prediction: Quantification of Task Relations and Hardness for Small Organic Molecules and Proteins

Poster presentation at the EUROPIN Summer School in Drug Design on quantifying the relationships and hardness between molecular activity prediction tasks for small organic molecules and proteins, motivating principled task selection in transfer learning settings.

Authors: Hosein Fooladi and Johannes Kirchmair.