Integrated Approach to Host-Pathogen Interactions

宿主-病原体相互作用的综合方法

• 批准号: 8564414
• 负责人: MARY R GALINSKI
• 金额: $ 338.93万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-30 至 2013-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8564414
• 关键词: Algorithms; Basic Science; Binding; Biological; Clinical; Communicable Diseases; Communities; Computer Simulation; Contracts; Data; Databases; Diagnostic; Disease Progression; Future; Immune response; Immunotherapy; Intervention; Metabolic; Molecular Profiling; Outcome; Pathway interactions; Plasmodium; Prevention; Protocols documentation; Reagent; Signal Transduction; Software Tools; Systems Biology; Technology; Vaccines; drug development; novel; pathogen; repository; tool

This contract employs a systems biology approach, encompassing the utilization of multiple high-throughput ¿-omics¿ technologies, to investigate and identify the metabolic, regulatory, signaling, and other biological pathways generated by host-pathogen molecular interactions to help explain and predict clinical manifestations of infectious diseases, host responses, disease progression, and outcomes. It is anticipated that results obtained from these studies will help to identify novel, unique, as well as common molecular signatures that may represent future targets for intervention and could aid in the identification of emerging pathogens and in the development of drugs, immunotherapies, vaccines and diagnostics for prevention and treatment of infectious. Furthermore, tools and data, e.g., computational and modeling tools, as well as experimentally and computationally generated data, experimental protocols, reagents, algorithms and analysis software tools, developed under the contract will be widely disseminated to the scientific community through publicly accessible databases and reagent repositories.

该合同采用系统生物学方法，包括利用多种高通量“组学”技术，调查和识别宿主-病原体分子相互作用产生的代谢、调节、信号传导和其他生物学途径，以帮助解释和预测传染病的临床表现、宿主反应、疾病进展和结果。预计从这些研究中获得的结果将有助于确定新的、独特的和共同的分子特征，这些特征可能代表未来的干预目标，并有助于确定新出现的病原体，并有助于开发预防和治疗传染病的药物、免疫疗法、疫苗和诊断方法。此外，根据合同开发的工具和数据，例如计算和建模工具，以及实验和计算生成的数据、实验协议、试剂、算法和分析软件工具，将通过可公开访问的数据库和试剂存储库广泛传播给科学界。