Your browser doesn't support javascript.
loading
Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.
Mason, Derek M; Friedensohn, Simon; Weber, Cédric R; Jordi, Christian; Wagner, Bastian; Meng, Simon M; Ehling, Roy A; Bonati, Lucia; Dahinden, Jan; Gainza, Pablo; Correia, Bruno E; Reddy, Sai T.
Afiliación
  • Mason DM; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Friedensohn S; deepCDR Biologics, Basel, Switzerland.
  • Weber CR; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Jordi C; deepCDR Biologics, Basel, Switzerland.
  • Wagner B; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Meng SM; deepCDR Biologics, Basel, Switzerland.
  • Ehling RA; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Bonati L; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Dahinden J; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Gainza P; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Correia BE; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Reddy ST; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Nat Biomed Eng ; 5(6): 600-612, 2021 06.
Article en En | MEDLINE | ID: mdl-33859386
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ingeniería de Proteínas / Receptor ErbB-2 / Trastuzumab / Aprendizaje Profundo / Antígenos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Nat Biomed Eng Año: 2021 Tipo del documento: Article País de afiliación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ingeniería de Proteínas / Receptor ErbB-2 / Trastuzumab / Aprendizaje Profundo / Antígenos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Nat Biomed Eng Año: 2021 Tipo del documento: Article País de afiliación: Suiza