BioinformaticsBioinformaticsPeer-reviewed journal article
Solubility-Weighted Index: fast and accurate prediction of protein solubility
Abstract
MotivationRecombinant protein production is a widely used technique in the biotechnology and biomedical industries, yet only a quarter of target proteins are soluble and can therefore be purified. ResultsWe have discovered that global structural flexibility, which can be modeled by normalised B-factors, accurately predicts the solubility of 12,216 recombinant proteins expressed in Escherichia coli. We have optimised B-factors, and derived a new set of values for solubility scoring that further improves prediction accuracy. We call this new predictor the Solubility-Weighted Index (SWI). Importantly, SWI outperforms many existing protein solubility prediction tools. Furthermore, we have developed SoDoPE (Soluble Domain for Protein Expression), a web interface that allows users to choose a protein region of interest for predicting and maximising both protein expression and solubility. AvailabilityThe SoDoPE web server and source code are freely available at https://tisigner.com/sodope and https://github.com/Gardner-BinfLab/TISIGNER-ReactJS, respectively. The code and data for reproducing our analysis can be found at https://github.com/Gardner-BinfLab/SoDoPE_paper2020.
- organism: E. coli
- assay: protein structure
- research focus: protein design
- research focus: protein structure prediction
- research focus: software / tool
- research focus: benchmarking
- approach: statistical model
- Citations
- 97
- FWCI
- 3.16
- Field percentile
- top 6%
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