Sequence-based prediction of pH-dependent protein solubility using CamSol
Marc Oellera, Ryan J. D. Kanga, Rosie Bella, Hannes Ausserwӧgera, Pietro Sormannia✉, Michele Vendruscoloa✉
- aUniversity of Cambridge Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, , Cambridge, UK
- ✉Corresponding author
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Abstract
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.
TL;DRThe development of a method to include in the predictions the effect of the pH on solubility, and illustrating 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. (Semantic Scholar)