Modeling Core

建模核心的总体目标是推动全球OMICS数据的整合，以识别控制先天免疫反应和影响致病性的病毒宿主网络。这将通过两个主要目标来实现：a）设计和提供分析OMICS数据的工具，以及B）作为将OMICS数据整合到致病性网络模型中的引擎，这些模型将以迭代的方式进一步细化。该核心将采用现有的生物信息学和系统生物学方法，并开发新的方法来识别影响流感病毒复制并有助于体内毒力的细胞蛋白和网络。建模核心将是将OMICS数据转化为生物学洞察力的引擎，并在成功完成该计划中发挥核心作用。联合导演Bandyopadhyay和Krogan在这个提案上有着很强的创新和相互合作的历史，非常适合指导建模工作。基于我们的模型的预测将在原代细胞培养和动物模型系统中通过采用靶向OMICS技术以及体内实验和临床表型分析进行测试。

The overall goal ofthe Modeling Core is to drive the integration of global -OMICS data to identify virus-host networks that control the innate immune response and influence pathogenicity. This will be accomplished through two main objectives a) to design and provide tools to analyze -OMICS data and b) to serve as an engine for integrating -OMICS data into network models of pathogenicity that are subject to further refinement in an iterative fashion. This Core will employ existing bioinformatics and systems biology approaches as well as develop novel approaches to identify cellular proteins and networks which influence influenza virus replication and contribute to virulence in vivo. The modeling core will be the engine for translating -OMICS data into biological insight and has a central role in the successful completion of this program. Co-directors Bandyopadhyay and Krogan have a strong history of innovation and collaboration with each other and others on this proposal and are well suited to direct the modeling efforts. Predictions that are based upon our models will be tested in primary cell culture and in animal model systems by employing targeted -OMICS technologies as well as in vivo experimentation and analysis of clinical phenotypes.