In Silico Design of Protein Kinase Inhibitors: Successes and Failures

Author:

Dubinina Galina G.,Chupryna Oleksandr O.,Platonov Maxim O.,Borisko Petro O.,Ostrovska Galina V.,Tolmachov Andriy O.,Shtil Alexander A.1

Affiliation:

1. Kiev National University,ChemBio Center, 6 Sosury Str., Kiev 02090, Ukraine., Ukraine

Abstract

Protein kinases are among the most exploited targets in modern drug discovery due to key roles these enzymes play in human diseases including cancer. The in silico approach, an important part of rational design of protein kinase inhibitors, is founded on vast information about 3D structures of these enzymes. This review summarizes general structural features of the kinase inhibitors and the studies applied toward a large scale chemical database for virtual screening. Analyzed are the ways of validating the modern docking tools and their combinations with different scoring functions. In particular, we discuss the kinase flexibility as a reason for failures of the docking procedure. Finally, evidence is provided for the main patterns of kinase-inhibitor interactions and creation of the hinge-region-directed 2D filters.

Publisher

Bentham Science Publishers Ltd.

Subject

Cancer Research,Pharmacology,Molecular Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3