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

2020Chemical Science引用 242顶会
Computational Drug Discovery MethodsMachine Learning in Materials ScienceProtein Structure and Dynamics

摘要

screening of the chemogenomic space, to provide novel DTIs which can be experimentally pursued. The source code, trained "ready-to-use" prediction models, all datasets and the results of this study are available at ; https://github.com/cansyl/DEEPscreen.