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Title: Ensemble-based docking: From hit discovery to metabolism and toxicity predictions

Journal Article · · Bioorganic and Medicinal Chemistry
 [1];  [1];  [2];  [3];  [1];  [3];  [1]
  1. Univ. of Tennessee, Knoxville, TN (United States)
  2. Univ. of Kentucky, Lexington, KY (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

The use of ensemble-based docking for the exploration of biochemical pathways and toxicity prediction of drug candidates is described. We describe the computational engineering work necessary to enable large ensemble docking campaigns on supercomputers. We show examples where ensemble-based docking has significantly increased the number and the diversity of validated drug candidates. Finally, we illustrate how ensemble-based docking can be extended beyond hit discovery and toward providing a structural basis for the prediction of metabolism and off-target binding relevant to pre-clinical and clinical trials.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
DOE Office of Science; USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1337049
Journal Information:
Bioorganic and Medicinal Chemistry, Journal Name: Bioorganic and Medicinal Chemistry Journal Issue: 20 Vol. 24; ISSN 0968-0896
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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