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  • 标题:Methods for sequence and structural analysis of B and T cell receptor repertoires
  • 本地全文:下载
  • 作者:Shunsuke Teraguchi ; Dianita S. Saputri ; Mara Anais Llamas-Covarrubias
  • 期刊名称:Computational and Structural Biotechnology Journal
  • 印刷版ISSN:2001-0370
  • 出版年度:2020
  • 卷号:18
  • 页码:2000-2011
  • DOI:10.1016/j.csbj.2020.07.008
  • 出版社:Computational and Structural Biotechnology Journal
  • 摘要:B cell receptors (BCRs) and T cell receptors (TCRs) make up an essential network of defense molecules that, collectively, can distinguish self from non-self and facilitate destruction of antigen-bearing cells such as pathogens or tumors. The analysis of BCR and TCR repertoires plays an important role in both basic immunology as well as in biotechnology. Because the repertoires are highly diverse, specialized software methods are needed to extract meaningful information from BCR and TCR sequence data. Here, we review recent developments in bioinformatics tools for analysis of BCR and TCR repertoires, with an emphasis on those that incorporate structural features. After describing the recent sequencing technologies for immune receptor repertoires, we survey structural modeling methods for BCR and TCRs, along with methods for clustering such models. We review downstream analyses, including BCR and TCR epitope prediction, antibody-antigen docking and TCR-peptide-MHC Modeling. We also briefly discuss molecular dynamics in this context.
  • 关键词:B cell receptor ; T cell receptor ; Immune system ; Adaptive immunology ; Antigen ; Single cell sequencing ; Clustering ; Machine-learning
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