DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations

Abstract

The DEEPScreen system is composed of 704 target protein specific prediction models, each independently trained using experimental bioactivity measurements against many drug candidate small molecules, and optimized according to the binding properties of the target proteins.