Systems Biology Program

系统生物学计划

• 批准号: 8303190
• 负责人: Gary K Schoolnik
• 金额: $ 478.53万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-26 至 2012-09-25
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8303190
• 关键词: Basic Science; Binding; Biochemical; Biological; Biological Process; Cells; Communicable Diseases; Communities; Computer Simulation; Computer software; Data; Data Set; Genomics; Goals; Internet; Knowledge; Lead; Methodology; Modeling; Molecular; Mycobacterium tuberculosis; National Institute of Allergy and Infectious Disease; Organism; Process; Reagent; Research; Resources; Systems Biology; microbial; programs; repository

This contract shall establish large scale, coordinated Systems Biology Programs that utilize 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 shall be 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.

本合同将建立大规模、协调的系统生物学计划，利用计算和实验方法的组合来分析、识别、量化、建模和预测微生物有机体的细胞分子组分网络的整体动态及其与宿主细胞的相互作用。这些实验数据应整合到其他可公开访问的“组学”数据集中，例如从niaid支持的基因组研究项目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。