索引于
  • 打开 J 门
  • Genamics 期刊搜索
  • 学术钥匙
  • 期刊目录
  • 研究圣经
  • 乌尔里希的期刊目录
  • 访问全球在线农业研究 (AGORA)
  • 电子期刊图书馆
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-WorldCat
  • SWB 在线目录
  • 虚拟生物学图书馆 (vifabio)
  • 普布隆斯
  • 米亚尔
  • 日内瓦医学教育与研究基金会
  • 欧洲酒吧
  • 谷歌学术
分享此页面
期刊传单
Flyer image

抽象的

Antigenic Structural Similarity as a Predictor for Antibody Cross-Reactivity

Christopher A. Beaudoin*, Tom L. Blundell

Antibodies are an essential component of the adaptive immune system that function to neutralize foreign invaders, such as bacterial and parasitic pathogens. However, B-cell epitopes remain difficult to predict due to their general indistinguishability from other protein regions. Epitope prediction tools in the past have largely relied on amino acid sequence similarity; however, implementing three-dimensional protein structure analyses into the epitope prediction algorithms has been shown to increase detection accuracy. Furthermore, structural comparisons between antigenic proteins for their potential to bind cross-reactive antibodies have not been explored extensively in the literature. Recent studies have pointed to the utility of looking at shared epitope structures in predicting antibody crossreactivity, which may shed light on cross-immunity between infectious pathogens and autoimmune diseases induced after infection. Thus, herein, the potential impact of including structural similarity comparisons in detecting shared epitopes is discussed. With the large amount of structural information being determined by three-dimensional computational protein modelling methods, the ability to perform these analyses is becoming more feasible.