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Performance of multiple docking and refinement methods in the pose prediction D3R prospective Grand Challenge 2016.

Xavier FraderaAndreas VerrasYuan HuDeping WangHongwu WangJames I. FellsKira A. ArmacostAlejandro CrespoBrad SherborneHuijun WangZhengwei PengYing-Duo Gao
Published in: J. Comput. Aided Mol. Des. (2018)
Keyphrases
  • computational cost
  • machine learning methods
  • grand challenge
  • prediction accuracy
  • benchmark datasets
  • pose estimation
  • statistical methods
  • prediction error
  • information retrieval
  • preprocessing
  • d objects