Modeling Immunity: responses to Bacilus anthracis and anthrax vaccination

免疫建模：对炭疽杆菌和炭疽疫苗的反应

• 批准号: 8159581
• 负责人: Thomas B Kepler
• 金额: $ 1347.51万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-30 至 2015-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8159581
• 关键词: Anthrax disease; B-Lymphocytes; Bacillus anthracis; Bioinformatics; Communities; Complex; Computer Simulation; Contracts; Data; Data Set; Databases; Development; Human; Immune; Immune response; Immunity; Immunology; Knowledge; Measurement; Modeling; Mus; Process; Reaction; Research; Research Support; Schools; Structure of germinal center of lymph node; Testing; Vaccination; Vaccine Adjuvant; base; biodefense; improved; mathematical model; model development; programs; response; symposium; tool

The Modeling Immunity for Biodefense Program supports research to create new or improved mathematical models that are able to generate knowledge from standard or complex datasets and guide further experimentation to advance the study of immunology or immune-based therapies. The program also supports accompanying immunological experimentation to provide the data required for model development and testing. Specifically, the scope of activities includes: ¿ Development and refinement of mathematical and computational models to be used for knowledge discovery through integration and analysis of complex and/or standard datasets. ¿ Assessment of model functionality thought the iterative process, requiring the acquisition of quantitative immunological measurement for developing, testing, validating, and refining the computational models. ¿ Establishment of a bioinformatics component to maintain a database of immunological data and develop immune modeling tools. ¿ Development of an educational component consisting of summer school programs and symposia for the broader research community to promote the use of

生物防御免疫建模计划支持创建新的或改进的数学模型的研究，这些模型能够从标准或复杂的数据集生成知识，并指导进一步的实验，以推进免疫学或基于免疫的疗法的研究。该计划还支持伴随的免疫学实验，以提供模型开发和测试所需的数据。具体而言，活动范围包括： 通过对复杂和/或标准数据集的整合和分析，开发和完善用于知识发现的数学和计算模型。 模型功能的评估是一个迭代过程，需要获得定量免疫测量来开发、测试、验证和改进计算模型。 建立生物信息学部分，以维护免疫学数据库并开发免疫建模工具。 为更广泛的研究界制定一个教育部分，包括暑期学校方案和研讨会，以促进使用