Proteins are complex biological units that constitute the basis for cellular function. As such, studying their structure and interaction with the environment is a key aspect in preclinical drug discovery . In computational drug discovery, the information encoded in proteins can be extracted and leveraged for a number of applications using machine learning . These include, among others, target identification , computational mutagenesis , proteinprotein interaction studies , and small molecule-target binding affinity prediction .