 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. We develop three-dimensional molecular learning networks for each of these tasks , finding that they consistently improve performance relative to  one- and two-dimensional methods .
<clarity>  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. We develop three-dimensional molecular learning networks for each of these tasks , finding that they consistently improve performance relative to  one- and two-dimensional methods .
 In thiswork we present ATOM3D, a collection of both novel and existing datasets spanning several key classes of biomolecules . We implement several classes of three-dimensional molecular learning networks for each of these tasks , finding that they consistently improve performance relative to one- and two-dimensional methods .