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基于序列的黑曲霉蛋白质分泌成功率预测

Sequence-based Prediction of Protein Secretion Success in Aspergillus niger
课程网址: http://videolectures.net/prib2010_vandenberg_spps/  
主讲教师: Bastiaan van den Berg
开课单位: 德尔夫特理工大学
开课时间: 2010-10-14
课程语种: 英语
中文简介:
细胞工厂Aspergillus niger广泛用于工业酶生产。为了选择用于大规模生产的潜在蛋白质,我们开发了基于序列的分类器,其预测是否将成功地产生和分泌过表达的同源蛋白质。使用10倍交叉验证方案,使用638种蛋白质的数据集来训练和验证分类器。使用线性判别分类器,实现了0.85的平均精度。特征选择结果表明哪些特征主要定义为成功的蛋白质生产,这可能是将蛋白质生成和分泌中涉及的生物过程偶联序列特征的有趣结果。
课程简介: The cell-factory Aspergillus 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.
关 键 词: 细胞工厂; 工业酶; 蛋白质
课程来源: 视频讲座网
最后编审: 2019-09-14:lxf
阅读次数: 42