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HIV 决策支持:从分子到人。

HIV decision support: from molecule to man.

机构信息

Computational Science, University of Amsterdam, 1081 HV Amsterdam, The Netherlands.

出版信息

Philos Trans A Math Phys Eng Sci. 2009 Jul 13;367(1898):2691-703. doi: 10.1098/rsta.2009.0043.

DOI:10.1098/rsta.2009.0043
PMID:19487205
Abstract

Human immunodeficiency virus (HIV) is recognized to be one of the most destructive pandemics in recorded history. Effective highly active antiretroviral therapy and the availability of genetic screening of patient virus data have led to sustained viral suppression and higher life expectancy in patients who have been infected with HIV. The sheer complexity of the disease stems from the multiscale and highly dynamic nature of the system under study. The complete cascade from genome, proteome, metabolome and physiome to health forms a multidimensional system that crosses many orders of magnitude in temporal and spatial scales. Understanding, quantifying and handling this complexity is one of the biggest challenges of our time, which requires a highly multidisciplinary approach. In order to supply researchers with an interactive framework and to provide the medical professional with appropriate tools and information for making a balanced and reliable clinical decision, we have developed 'ViroLab', a collaborative decision-support system (http://www.virolab.org/). ViroLab contains computational models that cover various spatial and temporal scales from atomic-level interactions in nanoseconds up to sociological interactions on the epidemiological level, spanning years of disease progression. ViroLab allows for personalized drug ranking. It is on trial in six hospitals and various virology and epidemiology laboratories across Europe.

摘要

人类免疫缺陷病毒(HIV)被认为是有记录以来最具破坏性的大流行病之一。有效的高效抗逆转录病毒疗法和对患者病毒数据进行基因筛查的可用性,导致感染 HIV 的患者持续抑制病毒和提高预期寿命。该疾病的复杂性源于研究系统的多尺度和高度动态特性。从基因组、蛋白质组、代谢组和生理组到健康的完整级联形成了一个多维系统,跨越了时间和空间尺度的多个数量级。理解、量化和处理这种复杂性是我们这个时代最大的挑战之一,这需要高度的多学科方法。为了为研究人员提供一个交互式框架,并为医学专业人员提供适当的工具和信息,以做出平衡和可靠的临床决策,我们开发了“ViroLab”,这是一个协作决策支持系统(http://www.virolab.org/)。ViroLab 包含计算模型,涵盖了从纳秒级原子水平相互作用到疾病进展多年的流行病学层面上的社会相互作用等各种时空尺度。ViroLab 允许进行个性化药物排序。它正在欧洲的六家医院和各种病毒学和流行病学实验室进行试验。

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