Mathematical and computational approaches can complement experimental studies of host-pathogen interactions.
Mathematical and computational approaches can complement experimental studies of host-pathogen interactions.
复制标题
数学和计算方法可以补充宿主-病原体相互作用的实验研究。
DOI：
10.1111/j.1462-5822.2008.01281.x
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发表时间：
2009
影响因子：
3.4
通讯作者：
Linderman,JenniferJ
中科院分区：
文献类型：
--
作者：
Kirschner,DeniseE;Linderman,JenniferJ
除了传统和新颖的实验方法来研究宿主-病原体相互作用外，数学和计算机建模最近也被应用于解决这一领域的开放性问题。这些建模工具不仅为探索多种生物尺度的疾病动力学提供了额外的途径，而且还补充和扩展了通过实验工具获得的知识。在这篇综述中，我们概述了四个例子，其中建模以某种方式补充了当前的实验技术，可以或已经推动了我们对宿主-病原体动力学的了解。提出的两种建模方法与本期探讨荧光共振能量转移和双光子活体显微镜的文章齐头并进。另外两个则探索虚拟或“计算机”缺失和缺失，以及一种理解和指导遗传流行病学研究的新方法。在每一个例子中，模型和实验的互补性被讨论。我们进一步注意到，多尺度建模可以让我们整合跨越长度（分子、细胞、组织、生物体、种群）和时间（例如秒到一生）的信息。总之，当结合起来时，这些兼容的方法为理解宿主-病原体相互作用提供了新的机会。
In addition to traditional and novel experimental approaches to study host–pathogen interactions, mathematical and computer modelling have recently been applied to address open questions in this area. These modelling tools not only offer an additional avenue for exploring disease dynamics at multiple biological scales, but also complement and extend knowledge gained via experimental tools. In this review, we outline four examples where modelling has complemented current experimental techniques in a way that can or has already pushed our knowledge of host–pathogen dynamics forward. Two of the modelling approaches presented go hand in hand with articles in this issue exploring fluorescence resonance energy transfer and two‐photon intravital microscopy. Two others explore virtual or ‘in silico’ deletion and depletion as well as a new method to understand and guide studies in genetic epidemiology. In each of these examples, the complementary nature of modelling and experiment is discussed. We further note that multi‐scale modelling may allow us to integrate information across length (molecular, cellular, tissue, organism, population) and time (e.g. seconds to lifetimes). In sum, when combined, these compatible approaches offer new opportunities for understanding host–pathogen interactions.