SoluProt: Prediction of Soluble Protein Expression in Escherichia coli

Authors

Hon, J., Marusiak, M., Martinek, T., Kunka, A., Zendulka, J., Bednar, D., Damborsky, J.

Source

BIOINFORMATICS XX: btaa1102 (2021)

Abstract

Motivation: Poor protein solubility hinders the production of many therapeutic and industrially useful proteins. Experimental efforts to increase solubility are plagued by low success rates and often reduce biological activity. Computational prediction of protein expressibility and solubility in Escherichia coli using only sequence information could reduce the cost of experimental studies by enabling prioritisation of highly soluble proteins.

Results: A new tool for sequence-based prediction of soluble protein expression in Escherichia coli, SoluProt, was created using the gradient boosting machine technique with the TargetTrack database as a training set. When evaluated against a balanced independent test set derived from the NESG database, SoluProt’s accuracy of 58.5% and AUC of 0.62 exceeded those of a suite of alternative solubility prediction tools. There is also evidence that it could significantly increase the success rate of experimental protein studies. SoluProt is freely available as a standalone program and a user-friendly webserver at https://loschmidt.chemi.muni.cz/soluprot/.

 •  Supplement

Citation

Hon, J., Marusiak, M., Martinek, T., Kunka, A., Zendulka, J., Bednar, D., Damborsky, J., 2021: SoluProt: Prediction of Soluble Protein Expression in Escherichia coli. Bioinformatics XX: btaa1102.

Nikola’s Success at SOC
The Dean’s Award for Jan
Gaspar Presented at 18th IUGEN International Winter School
Event Biotechnology Innovations for the Cosmetic Industry
David Presented at ESAB Webinar
Poster Award for Andrea
Zbynek to Present at HTCD2021