Motivation Protein solubility is an important property in industrial and therapeutic applications. Prediction is a challenge, despite a growing understanding of the relevant physicochemical properties. Results Protein-Sol is a web server for predicting protein solubility. Using available data for Escherichia coli protein solubility in a cell-free expression system, 35 sequence-based properties are calculated. Feature weights are determined from separation of low and high solubility subsets. The model returns a predicted solubility and an indication of the features which deviate most from average values. Two other properties are profiled in windowed calculation along the sequence: Fold propensity, and net segment charge. The utility of these additional features is demonstrated with the example of thioredoxin.
CITATION STYLE
Hebditch, M., Carballo-Amador, M. A., Charonis, S., Curtis, R., & Warwicker, J. (2017). Protein-Sol: A web tool for predicting protein solubility from sequence. Bioinformatics, 33(19), 3098–3100. https://doi.org/10.1093/bioinformatics/btx345
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