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

Research output: Contribution to journalArticle

  • Authors:
  • Max Hebditch
  • M. Alejandro Carballo-Amador
  • Spyros Charonis
  • Robin Curtis
  • James Warwicker

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.

Bibliographical metadata

Original languageEnglish
JournalBioinformatics
StateAccepted/In press - 25 May 2017