PotentialNet for Molecular Property Prediction 论文
2018ACS Central Science引用 507顶会
Computational Drug Discovery MethodsMachine Learning in Materials ScienceProtein Structure and Dynamics
摘要
, to measure the early enrichment of computational models for chemical data. Finally, we introduce a cross-validation strategy based on structural homology clustering that can more accurately measure model generalizability, which crucially distinguishes the aims of machine learning for drug discovery from standard machine learning tasks.