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Generation of synthetic antibody fragments with optimal complementarity determining region lengths for Notch-1 recognition.
Maruthachalam, Bharathikumar Vellalore; Barreto, Kris; Hogan, Daniel; Kusalik, Anthony; Geyer, Clarence Ronald.
Afiliação
  • Maruthachalam BV; Department of Biochemistry, University of Saskatchewan, Saskatoon, SK, Canada.
  • Barreto K; Department of Biochemistry, University of Saskatchewan, Saskatoon, SK, Canada.
  • Hogan D; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
  • Kusalik A; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
  • Geyer CR; Department of Pathology, University of Saskatchewan, Saskatoon, SK, Canada.
Front Microbiol ; 13: 931307, 2022.
Article em En | MEDLINE | ID: mdl-35992693
Synthetic antibodies have been engineered against a wide variety of antigens with desirable biophysical, biochemical, and pharmacological properties. Here, we describe the generation and characterization of synthetic antigen-binding fragments (Fabs) against Notch-1. Three single-framework synthetic Fab libraries, named S, F, and modified-F, were screened against the recombinant human Notch-1 extracellular domain using phage display. These libraries were built on a modified trastuzumab framework, containing two or four diversified complementarity-determining regions (CDRs) and different CDR diversity designs. In total, 12 Notch-1 Fabs were generated with 10 different CDRH3 lengths. These Fabs possessed a high affinity for Notch-1 (sub-nM to mid-nM KDapp values) and exhibited different binding profiles (mono-, bi-or tri-specific) toward Notch/Jagged receptors. Importantly, we showed that screening focused diversity libraries, implementing next-generation sequencing approaches, and fine-tuning the CDR length diversity provided improved binding solutions for Notch-1 recognition. These findings have implications for antibody library design and antibody phage display.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article