Kwan Tristan O C, Kolek Stefan A, Danson Amy E, Reis Rosana I, Camacho Ines S, Shaw Stewart Patrick D, Moraes Isabel
National Physical Laboratory, Teddington, United Kingdom.
Douglas Instruments Ltd., Hungerford, United Kingdom.
Front Mol Biosci. 2022 May 16;9:890862. doi: 10.3389/fmolb.2022.890862. eCollection 2022.
Structure-function relationships of biological macromolecules, in particular proteins, provide crucial insights for fundamental biochemistry, medical research and early drug discovery. However, production of recombinant proteins, either for structure determination, functional studies, or to be used as biopharmaceutical products, is often hampered by their instability and propensity to aggregate in solution . Protein samples of poor quality are often associated with reduced reproducibility as well as high research and production expenses. Several biophysical methods are available for measuring protein aggregation and stability. Yet, discovering and developing means to improve protein behaviour and structure-function integrity remains a demanding task. Here, we discuss workflows that are made possible by adapting established biophysical methods to high-throughput screening approaches. Rapid identification and optimisation of conditions that promote protein stability and reduce aggregation will support researchers and industry to maximise sample quality, stability and reproducibility, thereby reducing research and development time and costs.
生物大分子,特别是蛋白质的结构-功能关系,为基础生物化学、医学研究和早期药物发现提供了至关重要的见解。然而,无论是用于结构测定、功能研究还是用作生物制药产品,重组蛋白的生产常常受到其不稳定性以及在溶液中聚集倾向的阻碍。质量不佳的蛋白质样品往往与重现性降低以及高昂的研究和生产成本相关。有几种生物物理方法可用于测量蛋白质聚集和稳定性。然而,发现并开发改善蛋白质性能和结构-功能完整性的方法仍然是一项艰巨的任务。在此,我们讨论通过将既定的生物物理方法应用于高通量筛选方法而实现的工作流程。快速识别和优化促进蛋白质稳定性并减少聚集的条件,将有助于研究人员和行业最大限度地提高样品质量、稳定性和重现性,从而减少研发时间和成本。