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 of "Protein-Sol: a web tool for predicting protein solubility from sequence" by Hebditch M, Carballo-Amador MA, Charonis S et al., https://doi.org/10.1093/bioinformatics/btx345, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.
Record
- Archive ID
- doi:10.1093/bioinformatics/btx345
- Published
- Oct 1, 2017
- Venue
- Bioinformatics (Oxford, England)
- DOI
- 10.1093/bioinformatics/btx345
- PubMed
- 28575391
- PMC
- PMC5870856
- License
- CC-BY
- Provenance
- europepmc
