Modeling Core

建模核心的总体目标是推动全球组学数据的整合，以确定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；b)作为将-OMICS数据整合到致病性网络模型的引擎，这些模型将以迭代的方式进一步完善。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和促进体内毒力的细胞蛋白质和网络。建模核心将是将-OMICS数据转化为生物学见解的引擎，并在成功完成该计划中发挥核心作用。联合董事Bandyopadhyay和Krogan在这个提案上有着很强的创新和合作的历史，非常适合指导建模工作。基于我们模型的预测将在原代细胞培养和动物模型系统中通过使用靶向组学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.