The immune epitope database 2.0.
The immune epitope database 2.0.
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DOI：
10.1093/nar/gkp1004
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发表时间：
2010-01
影响因子：
14.9
通讯作者：
Peters B
中科院分区：
文献类型：
--
作者：
Vita R;Zarebski L;Greenbaum JA;Emami H;Hoof I;Salimi N;Damle R;Sette A;Peters B
免疫表位数据库（IEDB，www.iedb.org）提供了实验表征的 B 和 T 细胞表位目录，以及主要组织相容性复合体 (MHC) 结合和 MHC 配体洗脱实验的数据。该数据库代表了适应性免疫受体识别的分子结构以及这些分子被确定为免疫表位的实验背景。包括人类、非人类灵长类动物、啮齿动物、猪、猫和所有其他测试物种中识别的表位。阳性和阴性实验结果均被捕获。在 4 年的时间里，来自 180 978 项实验的数据是从文献中手动收集的，其中涵盖了传染原（不包括 HIV）中肽表位的所有公开信息的 99% 和过敏原中肽表位的 93%。此外，公众无法从 129 186 项实验中获得的数据由研究人员直接提交。与自身免疫相关的表位的管理预计将于 2010 年底完成。数据库可以通过表位结构、来源生物体、MHC 限制、检测类型或宿主生物体等标准进行查询。数据库结构及其查询、浏览和报告界面针对 IEDB 2.0 版本进行了彻底重新设计，并于 2009 年初公开发布。
The Immune Epitope Database (IEDB, www.iedb.org) provides a catalog of experimentally characterized B and T cell epitopes, as well as data on Major Histocompatibility Complex (MHC) binding and MHC ligand elution experiments. The database represents the molecular structures recognized by adaptive immune receptors and the experimental contexts in which these molecules were determined to be immune epitopes. Epitopes recognized in humans, nonhuman primates, rodents, pigs, cats and all other tested species are included. Both positive and negative experimental results are captured. Over the course of 4 years, the data from 180 978 experiments were curated manually from the literature, which covers ∼99% of all publicly available information on peptide epitopes mapped in infectious agents (excluding HIV) and 93% of those mapped in allergens. In addition, data that would otherwise be unavailable to the public from 129 186 experiments were submitted directly by investigators. The curation of epitopes related to autoimmunity is expected to be completed by the end of 2010. The database can be queried by epitope structure, source organism, MHC restriction, assay type or host organism, among other criteria. The database structure, as well as its querying, browsing and reporting interfaces, was completely redesigned for the IEDB 2.0 release, which became publicly available in early 2009.
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自动化免疫表位数据库的文档分类。
影响因子：
3
作者：
Wang, Peng;Morgan, Alexander A.;Zhang, Qing;Sette, Alessandro;Peters, Bjoern
通讯作者：
Peters, Bjoern
影响因子：
14.9
作者：
Zhang Q;Wang P;Kim Y;Haste-Andersen P;Beaver J;Bourne PE;Bui HH;Buus S;Frankild S;Greenbaum J;Lund O;Lundegaard C;Nielsen M;Ponomarenko J;Sette A;Zhu Z;Peters B
通讯作者：
Peters B
影响因子：
9.8
作者：
Peters B;Sidney J;Bourne P;Bui HH;Buus S;Doh G;Fleri W;Kronenberg M;Kubo R;Lund O;Nemazee D;Ponomarenko JV;Sathiamurthy M;Schoenberger S;Stewart S;Surko P;Way S;Wilson S;Sette A
通讯作者：
Sette A
影响因子：
14.9
作者：
Sayers EW;Barrett T;Benson DA;Bryant SH;Canese K;Chetvernin V;Church DM;DiCuccio M;Edgar R;Federhen S;Feolo M;Geer LY;Helmberg W;Kapustin Y;Landsman D;Lipman DJ;Madden TL;Maglott DR;Miller V;Mizrachi I;Ostell J;Pruitt KD;Schuler GD;Sequeira E;Sherry ST;Shumway M;Sirotkin K;Souvorov A;Starchenko G;Tatusova TA;Wagner L;Yaschenko E;Ye J
通讯作者：
Ye J
影响因子：
5.8
作者：
Singh, MK;Srivastava, S;Varshney, GC
通讯作者：
Varshney, GC