Systems Biology Program

系统生物学计划利用计算和实验方法的组合来分析，识别，量化，建模和预测微生物生物体的细胞分子组分网络及其与宿主细胞的相互作用的整体动态。这些实验数据应整合到其他公开访问的组学数据集中，例如从NIAID支持的基因组研究计划建立的基因组资源中检索的数据集，以开发和/或验证生物过程中涉及的分子相互作用网络的计算模型。 系统生物学计划产生的资源通过公共数据，软件和试剂库以及门户网站向公众开放，科学界可以轻松访问。系统生物学计划的最终目标是提高对微生物和宿主细胞中生物，生物化学和生物物理分子过程的整体复杂性的认识，这些过程可能导致传染病的发生和发展。

The Systems Biology Program utilizes a combination of computational and experimental methodologies to analyze, identify, quantify, model and predict the overall dynamics of the network of cellular molecular components of microbial organisms and their interactions with the host cells. These experimental data shall be integrated into other publicly accessible ¿-omics¿ datasets, such as those retrieved from the genomic resources established by the NIAID-supported genomic research programs, to develop and/or validate computational models of the molecular interaction networks involved in biological processes. The resources generated by the System Biology Program are made publicly available and easily accessible to the scientific community through public data, software and reagent repositories and through web portals. The ultimate goal of the Systems Biology Program is to enhance knowledge of the overall complexity of the biological, biochemical and biophysical molecular processes in microbial organisms and host cells which may lead to the initiation and progression of infectious diseases.