Hoi Pui Man, Li Shang, Vong Chi Teng, Tseng Hisa Hui Ling, Kwan Yiu Wa, Lee Simon Ming-Yuen
State Key Laboratory of Quality Research in Chinese Medicine and Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China.
State Key Laboratory of Quality Research in Chinese Medicine and Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China.
Methods. 2015 Jan;71:85-91. doi: 10.1016/j.ymeth.2014.09.004. Epub 2014 Sep 17.
During the past decade, developments in computational processing and X-ray crystallography have allowed virtual screening become integrated into drug discovery campaigns. This review focuses on the recent advancements in the drug discovery of VEGFR2 tyrosine kinase inhibitors (VEGFR2 TKIs) by using in silico methodologies. An introduction for the methodology framework of pharmacophore modeling, molecular docking and structure-based design are provided. We discuss the recent studies on the structures of VEGFR2 protein kinase in different binding modes, and the insights on molecular interactions gained from knowledge of the co-crystal structures complex with structurally diverse VEGFR2 inhibitors. We provide some aspects of model construction and molecular docking techniques. Several representative examples of successful applications on VEGFR2 virtual screening for hit discovery, lead optimization and structure-based design are also presented.
在过去十年中,计算处理和X射线晶体学的发展使虚拟筛选能够融入药物发现活动。本综述重点介绍了通过计算机辅助方法在VEGFR2酪氨酸激酶抑制剂(VEGFR2 TKIs)药物发现方面的最新进展。介绍了药效团建模、分子对接和基于结构设计的方法框架。我们讨论了关于VEGFR2蛋白激酶在不同结合模式下的结构的最新研究,以及从与结构多样的VEGFR2抑制剂的共晶体结构复合物的知识中获得的分子相互作用的见解。我们提供了模型构建和分子对接技术的一些方面。还介绍了在VEGFR2虚拟筛选中用于发现先导化合物、先导优化和基于结构设计的几个成功应用的代表性例子。