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.
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 language | English |
|---|---|
| Pages (from-to) | 3098-3100 |
| Number of pages | 2 |
| Journal | Bioinformatics |
| Volume | 33 |
| Issue number | 19 |
| Early online date | 29 May 2017 |
| DOIs | |
| Publication status | Published - 1 Oct 2017 |
Research Beacons, Institutes and Platforms
- Manchester Institute of Biotechnology
