双特异性抗体
抗体
理论(学习稳定性)
化学
计算机科学
计算生物学
单克隆抗体
生物
免疫学
机器学习
作者
Itzel Condado Morales,Fabian Dingfelder,Isabel Waibel,Oliver M. Turnbull,Bhargav Patel,Zheng Cao,Jais Rose Bjelke,S. Grell,Anja Bennet,Alissa Hummer,Matthew I. J. Raybould,Charlotte M. Deane,Thomas Egebjerg,Nikolai Lorenzen,Paolo Arosio
出处
期刊:mAbs
[Informa]
日期:2024-10-04
卷期号:16 (1)
标识
DOI:10.1080/19420862.2024.2403156
摘要
Engineered antibody formats, such as antibody fragments and bispecifics, have the potential to offer improved therapeutic efficacy compared to traditional full-length monoclonal antibodies (mAbs). However, the translation of these non-natural molecules into successful therapeutics can be hampered by developability challenges. Here, we systematically analyzed 64 different antibody constructs targeting Tumor Necrosis Factor (TNF) which cover 8 distinct molecular format families, encompassing full-length antibodies, various types of single chain variable fragments, and bispecifics. We measured 15 biophysical properties related to activity, manufacturing, and stability, scoring variants with a flag-based risk approach and a recent
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