Sequence-based pH-dependent prediction of protein solubility using CamSol
Sequence-based pH-dependent prediction of protein solubility using CamSol
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DOI：
10.1101/2022.05.09.491135
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发表时间：
2022-05
期刊：
影响因子：
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通讯作者：
Marc Oeller;Ryan Kang;Pietro Sormanni;M. Vendruscolo
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文献类型：
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作者：
Marc Oeller;Ryan Kang;Pietro Sormanni;M. Vendruscolo
溶解度是蛋白质在研究和生物技术和医学应用中至关重要的特性。由于测量蛋白质溶解度的实验方法是资源密集型和耗时的，最近出现了计算方法，可以快速和廉价地筛选大型蛋白质文库，因为这是开发管道中的常规要求。在这里，我们描述了扩展这样的方法之一，CamSol，包括在预测溶解度的pH值的影响。我们说明了ph依赖性预测对多种抗体和其他蛋白质的准确性。
Solubility is a property of central importance for the use of proteins in research and in applications in biotechnology and medicine. Since experimental methods for measuring protein solubility are resource-intensive and time-consuming, computational methods have recently emerged to enable the rapid and inexpensive screening of large libraries of proteins, as it is routinely required in development pipelines. Here, we describe the extension of one of such methods, CamSol, to include in the predictions the effect of the pH of the solubility. We illustrate the accuracy of the pH-dependent predictions on a variety of antibodies and other proteins.