Bridging Crystal Engineering and Drug Discovery by Utilizing Intermolecular Interactions and Molecular Shapes in Crystals

被引:0
|
作者
Spackman, Peter R. [1 ]
Yu, Li-Juan [1 ]
Bond, Charles S. [1 ]
Spackman, Mark A. [1 ]
Jayatilaka, Dylan [1 ]
Thomas, Sajesh P. [1 ]
Spackman, Peter R. [2 ]
Yu, Li-Juan [3 ]
Morton, Craig J. [4 ]
Parker, Michael W. [4 ]
Parker, Michael W. [5 ]
Thomas, Sajesh P. [6 ]
机构
[1] School of Molecular Sciences, University of Western Australia, Perth,WA,6009, Australia
[2] School of Chemistry, University of Southampton, Highfield, Southampton,SO17 1BJ, United Kingdom
[3] Research School of Chemistry, Australian National University, Canberra, Australia
[4] Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville,VIC,3010, Australia
[5] St Vincent’s Institute of Medical Research, Fitz-roy,VIC,3065, Australia
[6] Department of Chemistry and iNano, Aarhus University, Langelandsgade 140, Aarhus,8000, Denmark
基金
澳大利亚研究理事会; 欧盟地平线“2020”;
关键词
Crystal engineering - Drug interactions - Ions - Molecular recognition - Molecules - Proteins;
D O I
10.1002/ANGE.201906602
中图分类号
学科分类号
摘要
Most structure-based drug discovery methods utilize crystal structures of receptor proteins. Crystal engineering, on the other hand, utilizes the wealth of chemical information inherent in small-molecule crystal structures in the Cambridge Structural Database (CSD). We show that the interaction surfaces and shapes of molecules in experimentally determined small-molecule crystal structures can serve as effective tools in drug discovery. Our description of the shape and interaction propensities of molecules in their crystal structures can be used to screen them for specific binding compatibility with protein targets, as demonstrated through the high-throughput profiling of around 138000 small-molecule structures in the CSD and a series of drug–protein crystal structures. Electron-densitybased intermolecular boundary surfaces in small-molecule crystal structures and in target-protein pockets are utilized to identify potential ligand molecules from the CSD based on 3D shape and intermolecular interaction matching. © 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
引用
收藏
页码:16936 / 16940
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