Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies
使用收集的 83 种支架一致的单克隆抗体的综合分析数据集开发计算机模型来预测粘度和小鼠清除率
期刊:MAbs
影响因子:5.6
doi:10.1080/19420862.2023.2256745
Marissa Mock, Alex W Jacobitz, Christopher James Langmead, Athena Sudom, Daniel Yoo, Sara C Humphreys, Mai Alday, Larysa Alekseychyk, Nicolas Angell, Vivian Bi, Hannah Catterall, Chen-Chun Chen, Hui-Ting Chou, Kip P Conner, Kevin D Cook, Ana R Correia, Andrew Dykstra, Sudipa Ghimire-Rijal, Kevin Gra
