4.5 Article

Demonstration of AutoDock as an Educational Tool for Drug Discovery

期刊

JOURNAL OF CHEMICAL EDUCATION
卷 94, 期 3, 页码 345-349

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jchemed.6b00555

关键词

Upper-Division Undergraduate; Graduate Education/Research; Computational Chemistry; Computer-Based Learning; Drugs/Pharmaceuticals; Medicinal Chemistry; Biochemistry; Chemoinformatics; Inquiry-Based/Discovery Learning

资金

  1. Northern Illinois University
  2. National Institutes of Health [1R15A1113653-01]
  3. NIGMS [P41-GM103311]

向作者/读者索取更多资源

Drug design and discovery remains a popular topic of study to many students interested in visible, real-world applications of the chemical sciences. It is important that laboratory experiments detailing the early stages of drug discovery incorporate both compound design and an exploration of ligand/receptor interactions. Molecular modeling is widely employed in research endeavors seeking to predict the activity of potential compounds prior to synthesis and can therefore be used to illustrate these concepts. The following activity therefore details the use of AutoDock to predict the binding affinity and docked pose of a series of CDK2 inhibitors. Students can then compare their docking output to experimentally determined inhibitory activities and crystal structures. Finally, the AutoDock workflow detailed in activity can be used in research settings, provided the receptor crystal structure is known.

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