インデックス付き
  • Jゲートを開く
  • Genamics JournalSeek
  • アカデミックキー
  • ジャーナル目次
  • 研究聖書
  • ウルリッヒの定期刊行物ディレクトリ
  • Global Online Research in Agriculture (AGORA) へのアクセス
  • 電子ジャーナルライブラリ
  • レフシーク
  • ハムダード大学
  • エブスコ アリゾナ州
  • OCLC-WorldCat
  • SWBオンラインカタログ
  • 仮想生物学図書館 (vifabio)
  • パブロン
  • ミアル
  • ジュネーブ医学教育研究財団
  • ユーロパブ
  • Google スカラー
このページをシェアする
ジャーナルチラシ
Flyer image

概要

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.

免責事項: この要約は人工知能ツールを使用して翻訳されており、まだレビューまたは確認されていません