Demonstration of AutoDock as an Educational Tool for Drug Discovery

被引:42
作者
Helgren, Travis R. [1 ]
Hagen, Timothy J. [1 ]
机构
[1] Northern Illinois Univ, Dept Chem & Biochem, 1425 West Lincoln Highway, De Kalb, IL 60115 USA
基金
美国国家卫生研究院;
关键词
Upper-Division Undergraduate; Graduate Education/Research; Computational Chemistry; Computer-Based Learning; Drugs/Pharmaceuticals; Medicinal Chemistry; Biochemistry; Chemoinformatics; Inquiry-Based/Discovery Learning; MOLECULAR DOCKING; DESIGN; RESOURCES; CHEMISTRY;
D O I
10.1021/acs.jchemed.6b00555
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
引用
收藏
页码:345 / 349
页数:5
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