化学
生化工程
离子强度
蛋白质稳定性
理论(学习稳定性)
过程(计算)
计算生物学
计算机科学
生物化学
机器学习
有机化学
生物
操作系统
工程类
水溶液
作者
Susana A. L. Lobo,Paulina Bączyk,Brigitte Wyss,Jasmin C. Widmer,Lídia P. Jesus,Joana Gomes,Ana P. Batista,Steffen Hartmann,Paul Wassmann
标识
DOI:10.1016/j.jpba.2020.113650
摘要
Identification of molecular liabilities and implementation of mitigation strategies are key aspects that need to be considered by pharmaceutical companies developing therapeutic proteins. In the field of monoclonal antibodies, an efficient and streamlined process known as developability assessment is used for the selection of the “fittest” candidate. Other protein modalities, have in most cases only a limited number of possible candidates, requiring a paradigm change to a concept of candidate enabling. The assessment of liabilities at early project phases with the possibility to re-engineer candidates becomes essential for the success of these projects. Each protein possesses a unique stability profile resulting from the interplay of conformational, colloidal, chemical and physical stability attributes. All of these attributes strongly depend on external factors. Conformational and colloidal stability profiles of three non-immunoglobulin domain based proteins, namely Carbonic anhydrase, Ovalbumin and Thyroglobulin, and of two monoclonal antibodies were assessed in dependence of solution pH, ionic strength and varying buffering agents. The impact of screened external factors on proteins’ stability attributes varied significantly, indicating presence of molecule specific liabilities. Screening of such a broad space of conditions at early project phases is only feasible using low-material consuming, high-throughput analytical methods as exemplified in this study.
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