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.
Sequence-based prediction of pH-dependent protein solubility using CamSol.
利用CamSol进行基于序列的pH依赖性蛋白质溶解度预测
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作者:Oeller Marc, Kang Ryan, Bell Rosie, Ausserwöger Hannes, Sormanni Pietro, Vendruscolo Michele
| 期刊: | Briefings in Bioinformatics | 影响因子: | 7.700 |
| 时间: | 2023 | 起止号: | 2023 Mar 19; 24(2):bbad004 |
| doi: | 10.1093/bib/bbad004 | 研究方向: | 其它 |
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