Relating sequence properties to protein secretion
Bastiaan van den Berg (TU Delft - Pattern Recognition and Bioinformatics, Radboud Universiteit Nijmegen, Kluyver Centre for Genomics of Industrial Fermentation)
Marcel Reinders (TU Delft - Pattern Recognition and Bioinformatics, Kluyver Centre for Genomics of Industrial Fermentation, Radboud Universiteit Nijmegen)
HJ Pel (DSM)
L Wu (DSM)
J.A. Roubos (DSM)
Dick de Ridder (Radboud Universiteit Nijmegen, Kluyver Centre for Genomics of Industrial Fermentation, TU Delft - Pattern Recognition and Bioinformatics)
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Abstract
Aspergillus niger is widely used for industrial enzyme production. Knowledge on high-level protein secretion could be useful to improve production rates. We used sequencebased classification methods to identify important properties
for successful high-level secretion, which will be used to redesign proteins for improved secretion.