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Protein–Sol: a web tool for predicting protein solubility from sequence
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870856/ https://www.ncbi.nlm.nih.gov/pubmed/28575391 http://dx.doi.org/10.1093/bioinformatics/btx345 |
Sumario: | 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. |
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