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.

该合同采用了一种系统生物学方法，包括对多种高通量�-摩西技术的利用，以调查和识别由宿主 - path剂分子相互作用产生的代谢，调节性，信号和其他生物学途径，以帮助解释和预测感染性疾病的临床表现，宿主反应反应，疾病进展，疾病，疾病，疾病，疾病，疾病，疾病，疾病，疾病。可以预料，从这些研究中获得的结果将有助于确定新颖的，独特的和常见的分子特征，这些特征可能代表了未来的干预目标，并可能有助于鉴定新兴病原体，以及用于预防和治疗感染性的药物，免疫疗法，疫苗和诊断。此外，合同中开发的工具和数据，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，试剂，算法和分析软件工具将通过公共访问数据库和试剂重复库广泛传播到科学界。