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Sequence-based prediction of pH-dependent protein solubility using CamSol

Marc Oeller, Ryan Kang, Rosie Bell, Hannes Ausserwӧger, Pietro Sormanni, Michele Vendruscolo

2023Briefings in Bioinformatics56 citationsDOIOpen Access PDF

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.

Topics & Concepts

SolubilityComputer scienceSequence (biology)ChemistryComputational biologyBiochemistryBiologyOrganic chemistryProtein purification and stabilityProtein Structure and DynamicsMonoclonal and Polyclonal Antibodies Research
Sequence-based prediction of pH-dependent protein solubility using CamSol | Litcius