Suppr超能文献

用于抗登革热治疗药物开发的人己糖激酶II潜在抑制剂的虚拟筛选

Virtual Screening for Potential Inhibitors of Human Hexokinase II for the Development of Anti-Dengue Therapeutics.

作者信息

Tanbin Suriyea, Ahmad Fuad Fazia Adyani, Abdul Hamid Azzmer Azzar

机构信息

Department of Biotechnology Engineering, Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur 50728, Malaysia.

Research Unit for Bioinformatics & Computational Biology (RUBIC), Kulliyyah of Science, International Islamic University Malaysia, Bandar Indera Mahkota, Kuantan 25200, Malaysia.

出版信息

BioTech (Basel). 2020 Dec 28;10(1):1. doi: 10.3390/biotech10010001.

Abstract

Dengue fever, which is a disease caused by the dengue virus (DENV), is a major unsolved issue in many tropical and sub-tropical regions of the world. The absence of treatment that effectively prevent further viral propagation inside the human's body resulted in a high number of deaths globally each year. Thus, novel anti-dengue therapies are required for effective treatment. Human hexokinase II (HKII), which is the first enzyme in the glycolytic pathway, is an important drug target due to its significant impact on viral replication and survival in host cells. In this study, 23.1 million compounds were computationally-screened against HKII using the Ultrafast Shape Recognition with a CREDO Atom Types (USRCAT) algorithm. In total, 300 compounds with the highest similarity scores relative to three reference molecules, known as Alpha-D-glucose (GLC), Beta-D-glucose-6-phosphate (BG6), and 2-deoxyglucose (2DG), were aligned. Of these 300 compounds, 165 were chosen for further structure-based screening, based on their similarity scores, ADME analysis, the Lipinski's Rule of Five, and virtual toxicity test results. The selected analogues were subsequently docked against each domain of the HKII structure (PDB ID: 2NZT) using AutoDock Vina programme. The three top-ranked compounds for each query were then selected from the docking results based on their binding energy, the number of hydrogen bonds formed, and the specific catalytic residues. The best docking results for each analogue were observed for the C-terminus of Chain B. The top-ranked analogues of GLC, compound 10, compound 26, and compound 58, showed predicted binding energies of -7.2, -7.0, and -6.10 kcal/mol and 7, 5, and 2 hydrogen bonds, respectively. The analogues of BG6, compound 30, compound 36, and compound 38, showed predicted binding energies of -7.8, -7.4, and -7.0 kcal/mol and 11, 9, and 5 hydrogen bonds, while the top three analogues of 2DG, known as compound 1, compound 4, and compound 31, showed predicted binding energies of -6.8, -6.3, and -6.3 kcal/mol and 4, 3, and 1 hydrogen bonds, sequentially. The highest-ranked compounds in the docking analysis were then selected for molecular dynamics simulation, where compound 10, compound 30, and compound 1, which are the analogues of GLC, BG6, and 2DG, have shown strong protein-ligand stability with an RMSD value of ±5.0 A° with a 5 H bond, ±4.0 A° with an 8 H bond, and ±0.5 A° with a 2 H bond, respectively, compared to the reference molecules throughout the 20 ns simulation time. Therefore, by using the computational studies, we proposed novel compounds, which may act as potential drugs against DENV by inhibiting HKII's activity.

摘要

登革热是一种由登革病毒(DENV)引起的疾病,在世界许多热带和亚热带地区都是一个重大的未解决问题。由于缺乏能有效阻止病毒在人体内进一步传播的治疗方法,全球每年有大量死亡病例。因此,需要新的抗登革热疗法来进行有效治疗。人类己糖激酶II(HKII)是糖酵解途径中的第一种酶,因其对病毒在宿主细胞中的复制和存活有重大影响,所以是一个重要的药物靶点。在本研究中,使用带有CREDO原子类型的超快形状识别(USRCAT)算法对2310万种化合物进行了针对HKII的计算机筛选。总共比对了300种与三种参考分子(即α-D-葡萄糖(GLC)、β-D-葡萄糖-6-磷酸(BG6)和2-脱氧葡萄糖(2DG))相似度得分最高的化合物。在这300种化合物中,基于它们的相似度得分、ADME分析、Lipinski五规则和虚拟毒性测试结果,选择了165种进行进一步的基于结构的筛选。随后使用AutoDock Vina程序将选定的类似物与HKII结构(PDB ID:2NZT)的每个结构域进行对接。然后根据结合能、形成的氢键数量和特定催化残基,从对接结果中为每个查询选择排名前三的化合物。每个类似物的最佳对接结果在链B的C末端观察到。GLC的排名靠前的类似物,即化合物10、化合物26和化合物58,预测结合能分别为-7.2、-7.0和-6.10千卡/摩尔,氢键数量分别为7、5和2个。BG6的类似物,即化合物30、化合物36和化合物38,预测结合能分别为-7.8、-7.4和-7.0千卡/摩尔,氢键数量分别为11、9和5个,而2DG的排名前三的类似物,即化合物1、化合物4和化合物31,预测结合能分别为-6.8、-6.3和-6.3千卡/摩尔,氢键数量依次为4、3和1个。然后选择对接分析中排名最高的化合物进行分子动力学模拟,其中作为GLC、BG6和2DG类似物的化合物10、化合物30和化合物1,在整个20纳秒的模拟时间内,与参考分子相比,分别显示出强的蛋白质-配体稳定性,RMSD值分别为±5.0埃(5个氢键)、±4.0埃(8个氢键)和±0.5埃(2个氢键)。因此,通过计算机研究我们提出了新的化合物,它们可能通过抑制HKII的活性而作为抗登革病毒的潜在药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f72a/9245486/f6a41bfeee46/biotech-10-00001-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验