IEDB 针对多发性硬化症、类风湿性关节炎、狼疮和 1 型糖尿病-猫眼课题宝

IEDB 针对多发性硬化症、类风湿性关节炎、狼疮和 1 型糖尿病

批准号：

9430288

负责人：

ALESSANDRO SETTE

金额：

$66.39万

依托单位：

LA JOLLA INSTITUTE FOR IMMUNOLOGY

依托单位国家：

美国

项目类别：

财政年份：

2012

资助国家：

美国

项目状态：

已结题

起止时间：

2012-12-15 至 2017-12-14

来源：

https://reporter.nih.gov/project-details/9430288

关键词：

Algorithms Alleles Allergens Alloantigen Amino Acids Animals Antibodies Antigens Attention Autoantigens Autoimmune Diseases Binding Biological Bioterrorism Categories Communities Computer software Contractor Databases Development Disease Documentation Epitope Mapping Epitopes Frequencies Graves&apos Disease Human Imagery Immune Insulin-Dependent Diabetes Mellitus Ligands Link Literature Lupus MHC Class I Genes Methods Modeling Molecular Molecular Conformation Multiple Sclerosis Myasthenia Gravis National Institute of Allergy and Infectious Disease Online Systems Peptides Population Proteins Publications Publishing Research Resources Rheumatoid Arthritis Series Source Source Code Systemic Lupus Erythematosus T-Lymphocyte Epitopes Toxin Validation analytical tool immunogenicity improved nonhuman primate pathogen prediction algorithm programs protein structure relational database three dimensional structure tool web site

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项目成果

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中文摘要

翻译

免疫表位数据库和分析程序包含来自已发表文献的广泛策划的抗体和T细胞表位信息，以及预测抗体和T细胞表位或将表位可视化/映射到已知蛋白质结构上的工具。超过16，000篇参考文献已纳入IEDB，其中包括自身免疫性疾病的表位，如1型糖尿病，类风湿性关节炎，多发性硬化症，重症肌无力，格雷夫斯病和系统性红斑狼疮。此外，IEDB还拥有一系列表位分析工具，如抗体和T细胞表位预测算法、表位同源性发现、HLA频率分析和3D表位查看器/蛋白质作图工具。

英文摘要

The Immune Epitope Database and Analysis Program contains extensively curated antibody and T cell epitope information from the published literature, as well as tools to predict antibody and T cell epitopes or visualization/mapping of epitopes onto known protein structures. Over 16,000 references have been curated into the IEDB, which now includes epitopes for autoimmune diseases such as type 1 diabetes, rheumatoid arthritis, and multiple sclerosis, myasthenia gravis, Graves' disease, and systemic lupus erythematosus. In addition, the IEDB hosts a series of epitope analysis tools such as antibody and T cell epitope prediction algorithms, epitope homology discovery, HLA frequency analysis, and 3D epitope viewer/protein mapping tools.

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