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HON, J. MARUŠIAK, M. MARTÍNEK, T. KUNKA, A. ZENDULKA, J. BEDNÁŘ, D. DAMBORSKÝ, J.
Originální název
SoluProt: prediction of soluble protein expression in Escherichia coli
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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, SoluProts accuracy of 58.4% and AUC of 0.60 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/.
Klíčová slova
protein solubility, machine-learning
Autoři
HON, J.; MARUŠIAK, M.; MARTÍNEK, T.; KUNKA, A.; ZENDULKA, J.; BEDNÁŘ, D.; DAMBORSKÝ, J.
Vydáno
1. 1. 2021
ISSN
1367-4803
Periodikum
BIOINFORMATICS
Ročník
37
Číslo
1
Stát
Spojené království Velké Británie a Severního Irska
Strany od
23
Strany do
28
Strany počet
6
URL
https://www.fit.vut.cz/research/publication/12368/
BibTex
@article{BUT168540, author="Jiří {Hon} and Martin {Marušiak} and Tomáš {Martínek} and Antonín {Kunka} and Jaroslav {Zendulka} and David {Bednář} and Jiří {Damborský}", title="SoluProt: prediction of soluble protein expression in Escherichia coli", journal="BIOINFORMATICS", year="2021", volume="37", number="1", pages="23--28", doi="10.1093/bioinformatics/btaa1102", issn="1367-4803", url="https://www.fit.vut.cz/research/publication/12368/" }