图 书 馆
黑曲霉蛋白质分泌成功的序列预测Sequence-based Prediction of Protein Secretion Success in Aspergillus niger |
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| 课程网址: | http://videolectures.net/prib2010_vandenberg_spps/ |
| 主讲教师: | Bastiaan van den Berg |
| 开课单位: | 代尔夫特理工大学 |
| 开课时间: | 2010-10-14 |
| 课程语种: | 英语 |
| 中文简介: |  细胞工厂黑曲霉被广泛用于工业酶生产。为了选择潜在的蛋白质用于大规模生产，我们开发了基于序列的分类器，该分类器预测是否会成功生产和分泌过量表达的同源蛋白质。使用10倍交叉验证方案，使用638个蛋白质的数据集来训练和验证分类器。使用线性判别器，平均准确度为0.85。特征选择结果表明成功构建蛋白质最主要定义的是哪些特征，这可能是将序列特征与参与蛋白质生产和分泌的生物学过程耦合的有趣原因。 |
| 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: | 黑曲霉; 工业酶; 分类器 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-02-16：nkq |
| 最后编审: | 2021-02-16：nkq |
| 阅读次数: | 50 |