Before revision:  In particular  deep neural networks have recently gained significant attention . In thiswork we present ATOM3D, a collection of both novel and existing  datasets spanning several key classes of biomolecules , to systematically assess such learning methods.
After revision:  In particular deep neural networks have recently gained significant attention , but their widespread adoption in the biomolecular domain has been limited by a lack of either systematic performance benchmarks or a unified toolkit for interacting with molecular data. To address this, we present ATOM3D, a collection of both novel and existing datasets spanning several key classes of biomolecules , to systematically assess such learning methods.