Journal
BIOINFORMATICS
Volume 33, Issue 19, Pages 3098-3100Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btx345
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Funding
- Biotechnology and Biological Sciences Research Council (BBSRC) [BB/L013770/1, BB/J014478/1]
- Engineering and Physical Sciences Research Council (EPSRC) [EP/K50332/1]
- BBSRC [BB/L013770/1, BB/I017194/1] Funding Source: UKRI
- EPSRC [EP/N024796/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/L013770/1, 1626634, BB/I017194/1] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/N024796/1] Funding Source: researchfish
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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.
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