# Protein-Sol: a web tool for predicting protein solubility from sequence

Article · Hebditch M, Carballo-Amador MA, Charonis S, Curtis R, Warwicker J

- Archive id: doi:10.1093/bioinformatics/btx345
- Published: 2017-10-01
- Venue: Bioinformatics (Oxford, England)
- DOI: https://doi.org/10.1093/bioinformatics/btx345
- PMID: 28575391
- PMCID: PMC5870856
- Citations: 641
- Source URL: https://doi.org/10.1093/bioinformatics/btx345
- PDF: https://europepmc.org/articles/PMC5870856/pdf
- Provenance: europepmc

## Abstract

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. Availability and implementation The Protein-Sol webserver is available at http://protein-sol.manchester.ac.uk. Contact jim.warwicker@manchester.ac.uk.

_Abstract reproduced under CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)._

Topics: [Synthetic Biology & Genome Engineering](https://space-kitty.com/topics/synthetic-biology)

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