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

Max Hebditch, M. Alejandro Carballo-Amador, Spyros Charonis, Robin Curtis, James Warwicker

    Research output: Contribution to journalArticlepeer-review


    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.
    Original languageEnglish
    Pages (from-to)3098-3100
    Number of pages2
    Issue number19
    Early online date29 May 2017
    Publication statusPublished - 1 Oct 2017

    Research Beacons, Institutes and Platforms

    • Manchester Institute of Biotechnology


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