Simulating viral evolution and genetic complexity

模拟病毒进化和遗传复杂性

• 批准号: DP0773445
• 负责人: Prof Peter Drummond
• 金额: $ 19.24万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0773445
• 关键词: Simulating; viral; evolution; genetic; complexity

This project has direct relevance to understanding the growth of viral infections, and therefore has possible practical applications in disease research and control. Examples of these are emerging diseases in humans such as those caused by HIV-1, SARS coronavirus and Dengue virus, which cause considerable human suffering throughout the world. A major part of current research into these diseases involves attempts to model the evolutionary genetics and dynamics of virus populations in order to understand how to control epidemics, develop vaccines and design drugs. The research program is designed to provide new computational modelling tools for this purpose, which may have wider applications as well.

该项目与了解病毒感染的增长有直接关系，因此在疾病研究和控制中可能有实际应用。这些疾病的例子是人类新出现的疾病，如由艾滋病毒-1、SARS冠状病毒和登革热病毒引起的疾病，这些疾病在世界各地造成相当大的人类痛苦。目前对这些疾病的主要研究包括试图对病毒种群的进化遗传学和动力学进行建模，以了解如何控制流行病、开发疫苗和设计药物。该研究计划旨在为此目的提供新的计算建模工具，该工具可能也有更广泛的应用。