Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Brief Bioinform. 2023 Mar 19;24(2). doi: 10.1093/bib/bbad004.
Solubility is a property of central importance for the use of proteins in research in molecular and cell biology and in applications in biotechnology and medicine. Since experimental methods for measuring protein solubility are material intensive and time consuming, computational methods have recently emerged to enable the rapid and inexpensive screening of solubility for large libraries of proteins, as it is routinely required in development pipelines. Here, we describe the development of one such method to include in the predictions the effect of the pH on solubility. We illustrate the resulting pH-dependent predictions on a variety of antibodies and other proteins to demonstrate that these predictions achieve an accuracy comparable with that of experimental methods. We make this method publicly available at https://www-cohsoftware.ch.cam.ac.uk/index.php/camsolph, as the version 3.0 of CamSol.
溶解度对于分子和细胞生物学研究以及生物技术和医学应用中的蛋白质使用至关重要。由于测量蛋白质溶解度的实验方法需要大量的材料和时间,因此最近出现了计算方法,可以快速且廉价地对大量蛋白质文库进行溶解度筛选,这在开发管道中是常规要求。在这里,我们描述了一种这样的方法的开发,该方法将 pH 对溶解度的影响包括在内。我们在各种抗体和其他蛋白质上展示了由此产生的 pH 依赖性预测,以证明这些预测达到了与实验方法相当的准确性。我们在 https://www-cohsoftware.ch.cam.ac.uk/index.php/camsolph 上公开提供了此方法,作为 CamSol 的版本 3.0。