会议专题

Predicting Protein Subcellular Location Based on Improved Quadratic Discriminant

The location of a protein in a cell is closely correlated with its biological function. With the number of sequences entering into databanks rapidly increasing, it is highly desirable to predict a protein subcellular localization from its amino acid sequence. Here, a novel method is presented for the prediction of mouse protein subcellular location from sequence by using the increment of diversity combined with the improved quadratic discriminant analysis. The higher predictive success rates are obtained by the self-consistency test and the jackknife test. Our prediction results show that the improved quadratic discriminant analysis is very powerful to predict subcellular location of protein.

subcellular location amino acid increment of diversity quadratic discriminant

Fengmin Li Huanmin Zhou

College of Sciences Inner Mongolia Agricultural University Hohhot, 010018, China College of Life Sciences Inner Mongolia Agricultural University Hohhot, 010018, China

国际会议

2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

上海

英文

2002-2005

2011-10-15(万方平台首次上网日期,不代表论文的发表时间)