【经典文献】抗原表位的分析与预测Web-based Tools for Vaccine Design
丁香园
1664
题目：Web-based Tools for Vaccine Design
出处：
作者：Ole Lund1, Morten Nielsen1, Can Kesmir1,2, Jens K. Christensen1, Claus Lundegaard1, Peder Worning1, and Søren Brunak1
文献介绍及评论：
Computational methods used in vaccine design have been changing drastically in recent years. In classical immunological research results could be recorded by pen and pencil or in a spreadsheet, but new experimental highthroughput methods such as sequencing, DNA arrays, and proteomics have generated a wealth of data that are not efficiently handled and mined by these approaches. This has fueled the rapid growth of the field of Immunological Bioinformatics (or Immuno-informatics) that addresses how to handle these large amounts of data in the field of immunology and vaccine design. Many of the methods have been made available on the Internet and can be used by experimental researchers without expert knowledge of bioinformatics. This review attempts to give an overview over the methods currently available and to point out the strengths and weaknesses of the different methods.
无论是T细胞表位、还是B细胞表位，传统的鉴定方法都是先克隆相应的T或B细胞（或获得单抗），通过这些T、B细胞或抗体来鉴定表位，这需要有库容量足够大的库（人工合成的短肽库或采用表达文库）。这项工作是想当不容易、费事，还需要有大量的经费做为后盾。而本文中介绍的计算机辅助抗原表位的分析为我们提供了另一种获得抗原表位信息的途径。而所有计算机辅助表位分析系统都是建立在传统的表位分析结果，因此，随着抗原表位数据的积累（来自发表的文献），我们就有更多的素材来校正计算机表位预测系统。因此，目前的计算机表位预测系统已较数年前有很大的进步，尤其是T细胞表位的预测已经能给我们提供想当可信度的结果。虽然预测的最终结果还是需要经过实验系统的检测，但至少减少了我们设计表位的盲目性。
本贴所附的文献，是一篇综述，介绍了目前比较成熟的几种基于web的抗原表位预测系统，只要您登录到这些网站，输入您的蛋白序列，他们就会提供抗原表位的分析，不同的网站的侧重不同。
出处：
作者：Ole Lund1, Morten Nielsen1, Can Kesmir1,2, Jens K. Christensen1, Claus Lundegaard1, Peder Worning1, and Søren Brunak1
文献介绍及评论：
Computational methods used in vaccine design have been changing drastically in recent years. In classical immunological research results could be recorded by pen and pencil or in a spreadsheet, but new experimental highthroughput methods such as sequencing, DNA arrays, and proteomics have generated a wealth of data that are not efficiently handled and mined by these approaches. This has fueled the rapid growth of the field of Immunological Bioinformatics (or Immuno-informatics) that addresses how to handle these large amounts of data in the field of immunology and vaccine design. Many of the methods have been made available on the Internet and can be used by experimental researchers without expert knowledge of bioinformatics. This review attempts to give an overview over the methods currently available and to point out the strengths and weaknesses of the different methods.
无论是T细胞表位、还是B细胞表位，传统的鉴定方法都是先克隆相应的T或B细胞（或获得单抗），通过这些T、B细胞或抗体来鉴定表位，这需要有库容量足够大的库（人工合成的短肽库或采用表达文库）。这项工作是想当不容易、费事，还需要有大量的经费做为后盾。而本文中介绍的计算机辅助抗原表位的分析为我们提供了另一种获得抗原表位信息的途径。而所有计算机辅助表位分析系统都是建立在传统的表位分析结果，因此，随着抗原表位数据的积累（来自发表的文献），我们就有更多的素材来校正计算机表位预测系统。因此，目前的计算机表位预测系统已较数年前有很大的进步，尤其是T细胞表位的预测已经能给我们提供想当可信度的结果。虽然预测的最终结果还是需要经过实验系统的检测，但至少减少了我们设计表位的盲目性。
本贴所附的文献，是一篇综述，介绍了目前比较成熟的几种基于web的抗原表位预测系统，只要您登录到这些网站，输入您的蛋白序列，他们就会提供抗原表位的分析，不同的网站的侧重不同。
