半抗原数据库（HaptenDB）：一个关于半抗原、载体蛋白和抗半抗原抗体的综合数据库。

HaptenDB: a comprehensive database of haptens, carrier proteins and anti-hapten antibodies.

作者信息

Singh Mahender Kumar, Srivastava Shilpy, Raghava G P S, Varshney Grish C

机构信息

Institute of Microbial Technology Chandigarh, India.

出版信息

Bioinformatics. 2006 Jan 15;22(2):253-5. doi: 10.1093/bioinformatics/bti692.

DOI:10.1093/bioinformatics/bti692

PMID:16443637

Abstract

UNLABELLED

The key requirement for successful immunochemical assay is the availability of antibodies with high specificity and desired affinity. Small molecules, when used as haptens, are not immunogenic. However, on conjugating with carrier molecule they elicit antibody response. The production of anti-hapten antibodies of desired specificity largely depends on the hapten design (preserving greatly the chemical structure and spatial conformation of target compound), selection of the appropriate carrier protein and the conjugation method. This manuscript describes a curated database HaptenDB, where information is collected from published literature and web resources. The current version of the database has 2021 entries for 1087 haptens and 25 carrier proteins, where each entry provides comprehensive details about (1) nature of the hapten, (2) 2D and 3D structures of haptens, (3) carrier proteins, (4) coupling method, (5) method of anti-hapten antibody production, (6) assay method (used for characterization) and (7) specificities of antibodies. The current version of HaptenDB covers a wide array of haptens including pesticides, herbicides, insecticides, drugs, vitamins, steroids, hormones, toxins, dyes, explosives, etc. It provides internal and external links to various databases/resources to obtain further information about the nature of haptens, carriers and respective antibodies. For structure similarity comparison of haptens, the database also integrates tools like JME Editor and JMOL for sketching, displaying and manipulating hapten 2D/3D structures online. So the database would be of great help in identifying functional group(s) in smaller molecules using antibodies as well as for the development of immunodiagnostics/therapeutics by providing data and procedures available so far for the generation of specific or cross-reactive antibodies.

AVAILABILITY

HaptenDB is available on http://www.imtech.res.in/raghava/haptendb/ and http://bioinformatics.uams.edu/raghava/haptendb/ (Mirror site).

摘要

未标记

成功进行免疫化学分析的关键要求是要有具有高特异性和所需亲和力的抗体。小分子用作半抗原时不具有免疫原性。然而，与载体分子偶联后它们会引发抗体反应。所需特异性的抗半抗原抗体的产生很大程度上取决于半抗原设计（极大地保留目标化合物的化学结构和空间构象）、合适载体蛋白的选择以及偶联方法。本手稿描述了一个精心策划的数据库HaptenDB，其中信息是从已发表的文献和网络资源中收集而来。该数据库的当前版本有针对1087种半抗原和25种载体蛋白的2021条记录，每条记录提供了关于以下方面的全面详细信息：（1）半抗原的性质，（2）半抗原的二维和三维结构，（3）载体蛋白，（4）偶联方法，（5）抗半抗原抗体生产方法，（6）分析方法（用于表征）以及（7）抗体的特异性。HaptenDB当前版本涵盖了各种各样的半抗原，包括农药、除草剂、杀虫剂、药物、维生素、类固醇、激素、毒素、染料、炸药等。它提供到各种数据库/资源的内部和外部链接以获取关于半抗原、载体和相应抗体性质的进一步信息。为了进行半抗原结构相似性比较，该数据库还集成了诸如JME Editor和JMOL等工具，用于在线绘制、显示和操作半抗原的二维/三维结构。因此，该数据库对于使用抗体鉴定小分子中的官能团以及通过提供目前可用于产生特异性或交叉反应性抗体的数据和程序来开发免疫诊断/治疗方法将有很大帮助。