Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using surflex-dock

HIGHLIGHTS

  • who: Ann E. Cleves from the University of California, San Francisco, CA, USA have published the research work: Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock, in the Journal: (JOURNAL)
  • what: Binding-mode prediction is the focus of this study, and it can be important for visual modeling in compound design or as an adjunct to affinity prediction approaches, both simulation-based and those that employ machine-learning . In this study, an expert choice was made with respect to protein structure, and expert users for each docking program . . .

     

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