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系统计算设计和鉴定 Aurora 激酶 A 的低皮摩尔抑制剂。

Systematic Computational Design and Identification of Low Picomolar Inhibitors of Aurora Kinase A.

机构信息

Department of Bioscience and Biotechnology & Institute of Anticancer Medicine Development , Sejong University , 209 Neungdong-ro , Kwangjin-gu, Seoul 05006 , Korea.

Center for Catalytic Hydrocarbon Functionalizations , Institute for Basic Science (IBS) , Daejeon 34141 , Korea.

出版信息

J Chem Inf Model. 2018 Mar 26;58(3):700-709. doi: 10.1021/acs.jcim.7b00671. Epub 2018 Feb 16.

DOI:10.1021/acs.jcim.7b00671
PMID:29401391
Abstract

Aurora kinase A (AKA) has served as an effective molecular target for the development of cancer therapeutics. A series of potent AKA inhibitors with the (4-methoxy-pyrimidin-2-yl)-phenyl-amine (MPPA) scaffold are identified using a systematic computer-aided drug design protocol involving structure-based virtual screening, de novo design, and free energy perturbation (FEP) simulations. To enhance the accuracy of the virtual screening to find a proper molecular core and de novo design to optimize biochemical potency, we preliminarily improved the scoring function by implementing a reliable hydration energy term. The overall design strategy proves successful to the extent that some inhibitors reveal exceptionally high potency at low picomolar levels; this was achieved by substituting phenyl, chlorine, and tetrazole moieties on the MPPA scaffold. The establishment of bidentate hydrogen bonds with backbone groups in the hinge region appears to be necessary for the high biochemical potency, consistent with the literature X-ray crystallographic data. The picomolar inhibitory activity also stems from the simultaneous formation of additional hydrogen bonds with the side chains of the hinge region and P-loop residues. The FEP simulation results show that the inhibitory activity surges to the low picomolar level because the interactions in the ATP-binding site of AKA become strong by structural modifications enough to overbalance the increase in dehydration cost. Because of the exceptionally high biochemical potency, the AKA inhibitors reported in this study are anticipated to serve as a new starting point for the discovery of anticancer medicine.

摘要

极光激酶 A(AKA)已成为开发癌症治疗药物的有效分子靶标。本研究采用系统的计算机辅助药物设计方案,包括基于结构的虚拟筛选、从头设计和自由能微扰(FEP)模拟,鉴定出一系列具有(4-甲氧基-嘧啶-2-基)-苯基-胺(MPPA)骨架的有效 AKA 抑制剂。为了提高虚拟筛选寻找合适分子核心的准确性和从头设计优化生化效力的准确性,我们初步通过实现可靠的水合能项来改进评分函数。整体设计策略取得了成功,一些抑制剂以低皮摩尔水平显示出异常高的效力;这是通过在 MPPA 支架上取代苯基、氯和四唑部分来实现的。与文献中的 X 射线晶体学数据一致,与 hinge 区域的骨架基团形成双氢键似乎是生化效力高的必要条件。皮摩尔抑制活性还源于与 hinge 区域和 P 环残基的侧链同时形成额外氢键。FEP 模拟结果表明,抑制活性突降至皮摩尔水平以下,因为 AKA 的 ATP 结合位点的相互作用通过结构修饰变得足够强,足以克服脱水成本增加的影响。由于具有异常高的生化效力,本研究中报道的 AKA 抑制剂有望成为发现抗癌药物的新起点。

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