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Deciphering the antigen specificities of antibodies by clustering their complementarity determining region sequences.
Saputri, Dianita S; Ismanto, Hendra S; Nugraha, Dendi K; Xu, Zichang; Horiguchi, Yasuhiko; Sakakibara, Shuhei; Standley, Daron M.
Afiliação
  • Saputri DS; Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
  • Ismanto HS; Graduate School of Medicine, Osaka University, Suita, Japan.
  • Nugraha DK; Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
  • Xu Z; Department of Molecular Bacteriology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
  • Horiguchi Y; Immunology Frontier Research Center, Osaka University, Suita, Japan.
  • Sakakibara S; Graduate School of Medicine, Osaka University, Suita, Japan.
  • Standley DM; Department of Molecular Bacteriology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
mSystems ; 8(6): e0072223, 2023 Dec 21.
Article em En | MEDLINE | ID: mdl-37975681
IMPORTANCE: Determining antigen and epitope specificity is an essential step in the discovery of therapeutic antibodies as well as in the analysis adaptive immune responses to disease or vaccination. Despite extensive efforts, deciphering antigen specificity solely from BCR amino acid sequence remains a challenging task, requiring a combination of experimental and computational approaches. Here, we describe and experimentally validate a simple and straightforward approach for grouping antibodies that share antigen and epitope specificities based on their CDR sequence similarity. This approach allows us to identify the specificities of a large number of antibodies whose antigen targets are unknown, using a small fraction of antibodies with well-annotated binding specificities.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regiões Determinantes de Complementaridade / Anticorpos Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regiões Determinantes de Complementaridade / Anticorpos Idioma: En Ano de publicação: 2023 Tipo de documento: Article