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Biophysical properties of the clinical-stage antibody landscape.
Jain, Tushar; Sun, Tingwan; Durand, Stéphanie; Hall, Amy; Houston, Nga Rewa; Nett, Juergen H; Sharkey, Beth; Bobrowicz, Beata; Caffry, Isabelle; Yu, Yao; Cao, Yuan; Lynaugh, Heather; Brown, Michael; Baruah, Hemanta; Gray, Laura T; Krauland, Eric M; Xu, Yingda; Vásquez, Maximiliano; Wittrup, K Dane.
Afiliação
  • Jain T; Department of Computational Biology, Adimab LLC, Lebanon, NH 03766.
  • Sun T; Department of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
  • Durand S; Department of Molecular Biology, Adimab LLC, Lebanon, NH 03766.
  • Hall A; Department of Molecular Biology, Adimab LLC, Lebanon, NH 03766.
  • Houston NR; Department of Molecular Biology, Adimab LLC, Lebanon, NH 03766.
  • Nett JH; Department of Antibody Discovery, Adimab LLC, Lebanon, NH 03766.
  • Sharkey B; Department of High-Throughput Expression, Adimab LLC, Lebanon, NH 03766.
  • Bobrowicz B; Department of High-Throughput Expression, Adimab LLC, Lebanon, NH 03766.
  • Caffry I; Department of High-Throughput Expression, Adimab LLC, Lebanon, NH 03766.
  • Yu Y; Department of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
  • Cao Y; Department of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
  • Lynaugh H; Department of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
  • Brown M; Department of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
  • Baruah H; Department of Protein Analytics, Adimab LLC, Lebanon, NH 03766.
  • Gray LT; Department of Antibody Discovery, Adimab LLC, Lebanon, NH 03766.
  • Krauland EM; Department of Antibody Discovery, Adimab LLC, Lebanon, NH 03766.
  • Xu Y; Department of Antibody Discovery, Adimab LLC, Lebanon, NH 03766.
  • Vásquez M; Department of Protein Analytics, Adimab LLC, Lebanon, NH 03766; yingda.xu@adimab.com max.vasquez@adimab.com dane.wittrup@adimab.com.
  • Wittrup KD; Department of Computational Biology, Adimab LLC, Lebanon, NH 03766; yingda.xu@adimab.com max.vasquez@adimab.com dane.wittrup@adimab.com.
Proc Natl Acad Sci U S A ; 114(5): 944-949, 2017 01 31.
Article em En | MEDLINE | ID: mdl-28096333
ABSTRACT
Antibodies are a highly successful class of biological drugs, with over 50 such molecules approved for therapeutic use and hundreds more currently in clinical development. Improvements in technology for the discovery and optimization of high-potency antibodies have greatly increased the chances for finding binding molecules with desired biological properties; however, achieving drug-like properties at the same time is an additional requirement that is receiving increased attention. In this work, we attempt to quantify the historical limits of acceptability for multiple biophysical metrics of "developability." Amino acid sequences from 137 antibodies in advanced clinical stages, including 48 approved for therapeutic use, were collected and used to construct isotype-matched IgG1 antibodies, which were then expressed in mammalian cells. The resulting material for each source antibody was evaluated in a dozen biophysical property assays. The distributions of the observed metrics are used to empirically define boundaries of drug-like behavior that can represent practical guidelines for future antibody drug candidates.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Descoberta de Drogas / Anticorpos Monoclonais Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Descoberta de Drogas / Anticorpos Monoclonais Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article