A classifier approach to predict protein secretion in Aspergillus niger

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A classifier approach to predict protein secretion in Aspergillus niger

Poster (2010)

Author(s)

BA van den Berg (TU Delft - Pattern Recognition and Bioinformatics, Kluyver Centre for Genomics of Industrial Fermentation)

JF Nijkamp (Kluyver Centre for Genomics of Industrial Fermentation, TU Delft - Pattern Recognition and Bioinformatics)

Marcel JT Reinders (TU Delft - Pattern Recognition and Bioinformatics, Kluyver Centre for Genomics of Industrial Fermentation)

HJ Pel (DSM)

Liang Wu (DSM)

J.A. Roubos

Research Group

Pattern Recognition and Bioinformatics

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https://resolver.tudelft.nl/uuid:ff1122b7-79cc-4c19-a60e-81a744eeea36

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Publication Year

2010

Language

English

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.

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