Deep learning network used to model protein complexes

A new study has developed a deep learning approach that analyses protein interactions, which could improve the design of drugs in the future. Researchers have designed a novel approach to use deep learning to improve their understanding of how proteins interact in the body. According to the team, their findings could result in more accurate structure models of protein interactions in various diseases and better drug designs that target protein interactions. The study, conducted at Purdue University, US, designed a system called the docking decoy selection with voxel-based deep neural network (DOVE). This applies deep learning principles to virtual models of protein interactions.