Norovirus Capsid: a Novel Drug Target

诺如病毒衣壳：新型药物靶点

基本信息

批准号：
8713910
负责人：
JAREK MELLER
金额：
$ 19.45万
依托单位：
UNIVERSITY OF CINCINNATI
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-08-06 至 2016-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8713910
关键词：
Acute Address Affect Allosteric Site Antiviral Agents Arts Base Sequence Benchmarking Binding Biological Assay Biological Models Calicivirus Capsid Capsid Proteins Complement Consensus Data Development Disease Outbreaks Docking Drug Targeting Electron Microscopy Epidemic Figs - dietary Future Gastroenteritis Gel Chromatography Goals HIV Hepatitis B Virus Hot Spot Human Human poliovirus In Vitro Infection Lead Libraries Maps Methods Modeling Molecular Morbidity - disease rate Multi-Drug Resistance Mutagenesis Mutation Norovirus Pharmaceutical Preparations Polioviruses Proteins Public Health Site Slide Structural Protein Structure Structure-Activity Relationship Testing Therapeutic Vaccines Validation Viral Virus Virus Diseases base candidate identification candidate validation cheminformatics computer framework computer studies flexibility in vivo inhibitor/antagonist mortality novel novel strategies novel therapeutic intervention particle prophylactic public health relevance research study screening simulation small molecule stem therapeutic target tool virtual

项目摘要

DESCRIPTION (provided by applicant): Noroviruses (NVs) are the most important cause of non-bacterial epidemics of acute gastroenteritis, which is a common cause of morbidity and mortality worldwide. In US, outbreaks of NV-related gastroenteritis are estimated to affect 23 million people annually, representing a significant threat to public health. With the goal of developing novel therapeutic approaches for the treatment of NV infection, this proposal aims to identify small molecules that can effectively destabilize and/or disrupt the assembly of the NV capsid. Targeting NV capsid represents a novel strategy that has been successfully applied to other viruses in recent years. The proposed approach stems from our previous collaborative efforts and builds on expertise in both NV research and computational studies of proteins and their interactions. We propose an integrated strategy that uniquely combines: i) a novel computational framework for modeling and ranking of hot spots within NV capsid proteins; ii) virtual screening for small molecules targeting such sites; iii) experimental validation of top hit using newly established functional and structural assays and different model systems. Mapping of functional and structural hot spots will utilize the wealth of sequence and structural data on NVs. Ranking and assessment of the predicted hot spots will be further enhanced by integrating evolutionary, structural and functional information with modeling of conformational changes and allosteric effects associated with oligomerization of capsid proteins. Validation and further characterization of such identified hot spots will be performed by using mutagenesis, in vitro binding and in vivo functional assays. Virtual screening using state-of-art docking simulations, cheminformatic methods and comprehensive libraries of drug-like compounds will be used to identify candidate molecules targeting top ranking sites. Experimental validation of top hits will be performed using in vitro binding and in vivo functional assays developed by us recently for the assessment of NV capsid assembly. In order to facilitate this and future applications to other viruses, a versatile interface for automated analysis of structural and functional hot spots within capsid proteins will be integrated into our Polyview-MM portal.

描述（由申请人提供）：诺如病毒（NV）是急性胃肠炎非细菌流行的最重要原因，是全世界发病和死亡的常见原因。在美国，估计每年有 2300 万人受到 NV 相关胃肠炎的爆发，对公共健康构成重大威胁。为了开发治疗 NV 感染的新治疗方法，该提案旨在识别能够有效破坏 NV 衣壳稳定和/或破坏 NV 衣壳组装的小分子。靶向 NV 衣壳代表了一种近年来已成功应用于其他病毒的新策略。所提出的方法源于我们之前的合作努力，并建立在 NV 研究和蛋白质及其相互作用的计算研究的专业知识之上。我们提出了一种独特的综合策略，它结合了：i）一种新颖的计算框架，用于对 NV 衣壳蛋白内的热点进行建模和排序； ii) 虚拟筛选针对这些位点的小分子； iii) 使用新建立的功能和结构分析以及不同的模型系统对热门命中进行实验验证。功能和结构热点的绘制将利用 NV 上丰富的序列和结构数据。通过将进化、结构和功能信息与衣壳蛋白寡聚相关的构象变化和变构效应模型相结合，将进一步增强对预测热点的排名和评估。将通过使用诱变、体外结合和体内功能测定来对这些已识别的热点进行验证和进一步表征。使用最先进的对接模拟、化学信息学方法和类药物化合物综合库的虚拟筛选将用于识别针对顶级位点的候选分子。将使用我们最近开发的用于评估 NV 衣壳组装的体外结合和体内功能测定法对热门命中进行实验验证。为了促进本次和未来对其他病毒的应用，需要一个多功能接口，用于自动分析病毒内的结构和功能热点。衣壳蛋白将集成到我们的 Polyview-MM 门户中。