A classifier approach to predict protein secretion in Aspergillus niger

Poster (2010)

Authors

B.A. van den Berg Pattern Recognition and Bioinformatics - , Kluyver Centre for Genomics of Industrial Fermentation

J.F. Nijkamp Kluyver Centre for Genomics of Industrial Fermentation, Pattern Recognition and Bioinformatics -

M.J.T. Reinders Kluyver Centre for Genomics of Industrial Fermentation, Pattern Recognition and Bioinformatics -

HJ Pel DSM

L Wu DSM

J.A. Roubos

Research Group

Pattern Recognition and Bioinformatics () (TU Delft)

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Published Date

2010-3

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Pattern Recognition and Bioinformatics

Abstract

Filamentous fungi have a high protein secretion capacity that is exploited by the fermentation industry for large-scale production of both homologous and heterologous proteins. However, many newly introduced proteins, especially heterologous, are not produced at detectable levels. Being able to predict whether or not a protein can successfully be produced is of great use for strain development.