• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

免疫表位数据库:数据的录入与检索方法。

The Immune Epitope Database: How Data Are Entered and Retrieved.

机构信息

Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.

出版信息

J Immunol Res. 2017;2017:5974574. doi: 10.1155/2017/5974574. Epub 2017 May 29.

DOI:10.1155/2017/5974574
PMID:28634590
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5467323/
Abstract

Easy access to a vast collection of experimental data on immune epitopes can greatly facilitate the development of therapeutics and vaccines. The Immune Epitope Database and Analysis Resource (IEDB) was developed to provide such a resource as a free service to the biomedical research community. The IEDB contains epitope and assay information related to infectious diseases, autoimmune diseases, allergic diseases, and transplant/alloantigens for humans, nonhuman primates, mice, and any other species studied. It contains T cell, B cell, MHC binding, and MHC ligand elution experiments. Its data are curated primarily from the published literature and also include direct submissions from researchers involved in epitope discovery. This article describes the process of capturing data from these sources and how the information is organized in the IEDB data. Different approaches for querying the data are then presented, using the home page search interface and the various specialized search interfaces. Specific examples covering diverse applications of interest are given to highlight the power and functionality of the IEDB.

摘要

易于获取大量免疫表位的实验数据,可以极大地促进治疗和疫苗的开发。免疫表位数据库和分析资源(IEDB)的开发是为了向生物医学研究界提供这样一个免费的资源。IEDB 包含了与人类、非人类灵长类动物、小鼠以及任何其他研究物种的传染病、自身免疫性疾病、过敏性疾病和移植/同种抗原相关的表位和检测信息。它包含了 T 细胞、B 细胞、MHC 结合和 MHC 配体洗脱实验的数据。其数据主要是从已发表的文献中捕获的,还包括来自参与表位发现的研究人员的直接提交。本文描述了从这些来源捕获数据的过程,以及 IEDB 数据中信息的组织方式。然后介绍了使用主页搜索界面和各种专门搜索界面查询数据的不同方法。提供了具体的示例,涵盖了各种感兴趣的应用,以突出 IEDB 的强大功能和实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/5ebcdf2703ce/JIR2017-5974574.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/799e92825262/JIR2017-5974574.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/b91f33aa0efb/JIR2017-5974574.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/1d57f19389f6/JIR2017-5974574.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/1fee48b12e24/JIR2017-5974574.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/731accc162d3/JIR2017-5974574.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/5ebcdf2703ce/JIR2017-5974574.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/799e92825262/JIR2017-5974574.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/b91f33aa0efb/JIR2017-5974574.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/1d57f19389f6/JIR2017-5974574.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/1fee48b12e24/JIR2017-5974574.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/731accc162d3/JIR2017-5974574.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c732/5467323/5ebcdf2703ce/JIR2017-5974574.006.jpg

相似文献

1
The Immune Epitope Database: How Data Are Entered and Retrieved.免疫表位数据库:数据的录入与检索方法。
J Immunol Res. 2017;2017:5974574. doi: 10.1155/2017/5974574. Epub 2017 May 29.
2
IEDB-3D: structural data within the immune epitope database.免疫表位数据库中的IEDB-3D:结构数据
Nucleic Acids Res. 2011 Jan;39(Database issue):D1164-70. doi: 10.1093/nar/gkq888. Epub 2010 Oct 28.
3
A behind-the-scenes tour of the IEDB curation process: an optimized process empirically integrating automation and human curation efforts.IEDB 编辑过程幕后探秘:自动化与人工编辑工作经验性整合的优化流程。
Immunology. 2020 Oct;161(2):139-147. doi: 10.1111/imm.13234. Epub 2020 Jul 26.
4
The Immune Epitope Database (IEDB): 2018 update.免疫表位数据库(IEDB):2018 年更新。
Nucleic Acids Res. 2019 Jan 8;47(D1):D339-D343. doi: 10.1093/nar/gky1006.
5
Applications for T-cell epitope queries and tools in the Immune Epitope Database and Analysis Resource.T 细胞表位查询申请及免疫表位数据库与分析资源工具的应用。
J Immunol Methods. 2011 Nov 30;374(1-2):62-9. doi: 10.1016/j.jim.2010.10.010. Epub 2010 Oct 31.
6
IEDB-AR: immune epitope database-analysis resource in 2019.IEDB-AR:2019 年免疫表位数据库分析资源。
Nucleic Acids Res. 2019 Jul 2;47(W1):W502-W506. doi: 10.1093/nar/gkz452.
7
The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Design.免疫表位数据库与分析资源在表位发现及合成疫苗设计中的应用
Front Immunol. 2017 Mar 14;8:278. doi: 10.3389/fimmu.2017.00278. eCollection 2017.
8
The immune epitope database 2.0.免疫表位数据库 2.0.
Nucleic Acids Res. 2010 Jan;38(Database issue):D854-62. doi: 10.1093/nar/gkp1004. Epub 2009 Nov 11.
9
Fundamentals and Methods for T- and B-Cell Epitope Prediction.T 细胞和 B 细胞表位预测的基础与方法。
J Immunol Res. 2017;2017:2680160. doi: 10.1155/2017/2680160. Epub 2017 Dec 28.
10
Strategies to query and display allergy-derived epitope data from the immune epitope database.从免疫表位数据库中查询和显示过敏原衍生表位数据的策略。
Int Arch Allergy Immunol. 2013;160(4):334-45. doi: 10.1159/000343880. Epub 2012 Nov 21.

引用本文的文献

1
Epitope-based antibody development against metalloproteinases and phospholipases A from venom.基于表位的抗毒液金属蛋白酶和磷脂酶A抗体的研发
J Venom Anim Toxins Incl Trop Dis. 2025 May 9;31:e20240060. doi: 10.1590/1678-9199-JVATITD-2024-0060. eCollection 2025.
2
The Immune Epitope Database (IEDB): 2024 update.免疫表位数据库(IEDB):2024年更新
Nucleic Acids Res. 2025 Jan 6;53(D1):D436-D443. doi: 10.1093/nar/gkae1092.
3
Machine learning tools used for mapping some immunogenic epitopes within the major structural proteins of the bovine coronavirus (BCoV) and for the design of the multiepitope-based vaccines.

本文引用的文献

1
The Ontology for Biomedical Investigations.生物医学研究本体论
PLoS One. 2016 Apr 29;11(4):e0154556. doi: 10.1371/journal.pone.0154556. eCollection 2016.
2
An ontology for major histocompatibility restriction.主要组织相容性限制的本体论。
J Biomed Semantics. 2016 Jan 11;7:1. doi: 10.1186/s13326-016-0045-5. eCollection 2016.
3
Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.《疾病本体论2015年更新:一个通过疾病数据连接生物医学知识的经过扩展和更新的人类疾病数据库》
用于绘制牛冠状病毒(BCoV)主要结构蛋白内一些免疫原性表位以及设计基于多表位疫苗的机器学习工具。
Front Vet Sci. 2024 Oct 2;11:1468890. doi: 10.3389/fvets.2024.1468890. eCollection 2024.
4
Neoantigen immunogenicity landscapes and evolution of tumor ecosystems during immunotherapy with nivolumab.免疫治疗中纳武利尤单抗的肿瘤生态系统的新抗原免疫原性景观和演变。
Nat Med. 2024 Nov;30(11):3209-3222. doi: 10.1038/s41591-024-03240-y. Epub 2024 Sep 30.
5
In silico design of multi-epitope adhesin protein vaccines.多表位粘附素蛋白疫苗的计算机辅助设计
Heliyon. 2024 Sep 7;10(18):e37536. doi: 10.1016/j.heliyon.2024.e37536. eCollection 2024 Sep 30.
6
Advancements and Challenges in Peptide-Based Cancer Vaccination: A Multidisciplinary Perspective.基于肽的癌症疫苗接种的进展与挑战:多学科视角
Vaccines (Basel). 2024 Aug 22;12(8):950. doi: 10.3390/vaccines12080950.
7
Developability considerations for bispecific and multispecific antibodies.双特异性和多特异性抗体的可开发性考虑因素。
MAbs. 2024 Jan-Dec;16(1):2394229. doi: 10.1080/19420862.2024.2394229. Epub 2024 Aug 27.
8
Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy.人工智能与新抗原:为精准癌症免疫治疗铺平道路。
Front Immunol. 2024 May 29;15:1394003. doi: 10.3389/fimmu.2024.1394003. eCollection 2024.
9
Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity.无监督和有监督的人工智能在分子动力学模拟中揭示了 HLA-A2-肽免疫原性的复杂特征。
Brief Bioinform. 2023 Nov 22;25(1). doi: 10.1093/bib/bbad504.
10
Potential and limitations of epitope mapping and molecular targeting in Hymenoptera venom allergy.膜翅目毒液过敏中表位定位和分子靶向的潜力与局限性
Front Allergy. 2023 Dec 14;4:1327391. doi: 10.3389/falgy.2023.1327391. eCollection 2023.
Nucleic Acids Res. 2015 Jan;43(Database issue):D1071-8. doi: 10.1093/nar/gku1011. Epub 2014 Oct 27.
4
The immune epitope database (IEDB) 3.0.免疫表位数据库(IEDB)3.0
Nucleic Acids Res. 2015 Jan;43(Database issue):D405-12. doi: 10.1093/nar/gku938. Epub 2014 Oct 9.
5
Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II.生物信息学工作流程和文本挖掘:BioCreative 2012 研讨会第二轨道概述。
Database (Oxford). 2012 Nov 17;2012:bas043. doi: 10.1093/database/bas043. Print 2012.
6
A meta-analysis of the existing knowledge of immunoreactivity against hepatitis C virus (HCV).对丙型肝炎病毒 (HCV) 免疫反应性的现有知识进行荟萃分析。
PLoS One. 2012;7(5):e38028. doi: 10.1371/journal.pone.0038028. Epub 2012 May 31.
7
Automated systems to identify relevant documents in product risk management.自动化系统以识别产品风险管理中的相关文件。
BMC Med Inform Decis Mak. 2012 Mar 2;12:13. doi: 10.1186/1472-6947-12-13.
8
Cost sensitive hierarchical document classification to triage PubMed abstracts for manual curation.基于代价敏感的层次文档分类对 PubMed 文摘进行人工审核分诊。
BMC Bioinformatics. 2011 Dec 19;12:482. doi: 10.1186/1471-2105-12-482.
9
The immune epitope database 2.0.免疫表位数据库 2.0.
Nucleic Acids Res. 2010 Jan;38(Database issue):D854-62. doi: 10.1093/nar/gkp1004. Epub 2009 Nov 11.
10
The curation guidelines of the immune epitope database and analysis resource.免疫表位数据库与分析资源的管理指南。
Cytometry A. 2008 Nov;73(11):1066-70. doi: 10.1002/cyto.a.20585.