Validated Models of Immune Response to Virus Infection.
Validated Models of Immune Response to Virus Infection.
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DOI：
10.1016/j.coisb.2018.10.005
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发表时间：
2018-12-01
影响因子：
3.7
通讯作者：
Smith, Amber M
中科院分区：
文献类型：
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作者：
Smith, Amber M
病毒是世界范围内疾病的主要原因，许多病毒没有有效的治疗方法或疫苗。缺乏对宿主反应如何控制病毒传播的理解是限制有效管理的一个因素。在数学模型的帮助下，不同的免疫成分如何调节感染动力学开始得到更好的理解。这些模型在区分假设和确定病毒生长和清除率、不同宿主因子和抗病毒药物的动态控制以及多病原体感染期间的协同相互作用方面发挥了关键作用。最近在实验室和临床评估模型预测的焦点已经阐明了各种病毒模型的准确性，并强调了病毒学理论方法的关键性质。在这里，我讨论了最近对宿主-病原体相互作用的模型驱动探索，这些探索说明了模型验证在建立模型预测能力和定义新生物学方面的重要性。
Viruses are a main cause of disease worldwide and many are without effective therapeutics or vaccines. A lack of understanding about how host responses work to control viral spread is one factor limiting effective management. How different immune components regulate infection dynamics is beginning to be better understood with the help of mathematical models. These models have been key in discriminating between hypotheses and in identifying rates of virus growth and clearance, dynamical control by different host factors and antivirals, and synergistic interactions during multi-pathogen infections. A recent focus in evaluating model predictions in the laboratory and clinic has illuminate the accuracy of models for a variety of viruses and highlighted the critical nature of theoretical approaches in virology. Here, I discuss recent model-driven exploration of host-pathogen interactions that have illustrated the importance of model validation in establishing the model's predictive capability and in defining new biology.