Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features

• Váldodahkkit: Ameya Harmalkar (Dahkki), Roshan Rao (Dahkki), Yuxuan Richard Xie (Dahkki), Jonas Honer (Dahkki), Wibke Deisting (Dahkki), Jonas Anlahr (Dahkki), Anja Hoenig (Dahkki), Julia Czwikla (Dahkki), Eva Sienz-Widmann (Dahkki), Doris Rau (Dahkki), Austin J. Rice (Dahkki), Timothy P. Riley (Dahkki), Danqing Li (Dahkki), Hannah B. Catterall (Dahkki), Christine E. Tinberg (Dahkki), Jeffrey J. Gray (Dahkki), Kathy Y. Wei (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Taylor & Francis Group, 2023-12-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

ABSTRACTOver the last three decades, the appeal for monoclonal antibodies (mAbs) as therapeutics has been steadily increasing as evident with FDA's recent landmark approval of the 100th mAb. Unlike mAbs that bind to single targets, multispecific biologics (msAbs) have garnered particular intere...