日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics

机器学习预测抗体聚集和粘度,用于蛋白质治疗剂的高浓度制剂开发

Pin-Kuang Lai, Austin Gallegos, Neil Mody, Hasige A Sathish, Bernhardt L Trout

Charge-mediated Fab-Fc interactions in an IgG1 antibody induce reversible self-association, cluster formation, and elevated viscosity

IgG1抗体中电荷介导的Fab-Fc相互作用可诱导可逆的自缔合、聚集和黏度升高。

Arora, Jayant; Hu, Yue; Esfandiary, Reza; Sathish, Hasige A; Bishop, Steven M; Joshi, Sangeeta B; Middaugh, C Russell; Volkin, David B; Weis, David D

Computational tool for the early screening of monoclonal antibodies for their viscosities

用于单克隆抗体粘度早期筛选的计算工具

Agrawal, Neeraj J; Helk, Bernhard; Kumar, Sandeep; Mody, Neil; Sathish, Hasige A; Samra, Hardeep S; Buck, Patrick M; Li, Li; Trout, Bernhardt L

Buffer-dependent fragmentation of a humanized full-length monoclonal antibody

缓冲液依赖性人源化全长单克隆抗体的片段化

Salinas, Branden A; Sathish, Hasige A; Shah, Ambarish U; Carpenter, John F; Randolph, Theodore W