Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger

Autor:	Marcel J. T. Reinders, Herman Jan Pel, Bastiaan A. van den Berg, Dick de Ridder, Jurgen F. Nijkamp, Liang Wu, Johannes Andries Roubos
Rok vydání:	2010
Předmět:	Secretory protein biology business.industry Aspergillus niger Protein biosynthesis Feature selection Computational biology Protein superfamily biology.organism_classification business Linear discriminant analysis Classifier (UML) Biotechnology
Zdroj:	Pattern Recognition in Bioinformatics ISBN: 9783642160004 PRIB
DOI:	10.1007/978-3-642-16001-1_1
Popis:	The cell-factory A spergillus niger is widely used for industrial enzyme production. To select potential proteins for large-scale production, we developed a sequence-based classifier that predicts if an over-expressed homologous protein will successfully be produced and secreted. A dataset of 638 proteins was used to train and validate a classifier, using a 10-fold cross-validation protocol. Using a linear discriminant classifier, an average accuracy of 0.85 was achieved. Feature selection results indicate what features are mostly defining for successful protein production, which could be an interesting lead to couple sequence characteristics to biological processes involved in protein production and secretion.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e123ee560f7f2a16ef84ea7d30c5b31b https://doi.org/10.1007/978-3-642-16001-1_1 Zobrazit plný text záznamu