henhaobio
Sign in

BioinformaticsBioinformaticsPeer-reviewed journal article

Solubility-Weighted Index: fast and accurate prediction of protein solubility

Bikash Kumar BhandariiD, Paul P. GardneriD, Chun Shen LimiD

PDFDOIPreprintCode

Abstract

MotivationRecombinant protein production is a widely used technique in the biotechnology and biomedical industries, yet only a quarter of target proteins are soluble and can therefore be purified. ResultsWe have discovered that global structural flexibility, which can be modeled by normalised B-factors, accurately predicts the solubility of 12,216 recombinant proteins expressed in Escherichia coli. We have optimised B-factors, and derived a new set of values for solubility scoring that further improves prediction accuracy. We call this new predictor the Solubility-Weighted Index (SWI). Importantly, SWI outperforms many existing protein solubility prediction tools. Furthermore, we have developed SoDoPE (Soluble Domain for Protein Expression), a web interface that allows users to choose a protein region of interest for predicting and maximising both protein expression and solubility. AvailabilityThe SoDoPE web server and source code are freely available at https://tisigner.com/sodope and https://github.com/Gardner-BinfLab/TISIGNER-ReactJS, respectively. The code and data for reproducing our analysis can be found at https://github.com/Gardner-BinfLab/SoDoPE_paper2020.

Citations
97
FWCI
3.16
Field percentile
top 6%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHou '19Rajagopalan '26Thumuluri '21Mall '19Oeller '22Attanasio '25
72% semantic matchBioinformatics
Qingzhen Hou, Jean Marc Kwasigroch, Marianne J. Rooman+1 more·Bioinformatics·Oct 8, 2019· 86 citations