title: A novel method for N-terminal acetylation prediction.
abstract: The NetAcet method has been developed to make predictions of N-terminal acetylation sites, but more information of the data set could be utilized to improve the performance of the model. By employing a new way to extract patterns from sequences and using a sample balancing mechanism, we obtained a correlation coefficient of 0.85, and a sensitivity of 93% on an independent mammalian data set. A web server utilizing this method has been constructed and is available at http://166.111.24.5/acetylation.html.
authors.affiliation: School of Software, Tsinghua University, Beijing 100084, China. yingliu03@mails.tsinghua.edu.cn
authors.forename: Ying
authors.initials: Y
authors.lastname: Liu
authors.forename: Yuanlie
authors.initials: Y
authors.lastname: Lin
mesh_terms: D000107:Acetylation; D019295:Computational Biology; D030562:Databases, Protein; D011506:Proteins / Q000737:chemistry*; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry; D012680:Sensitivity and Specificity
chemical_list: D011506:Proteins; D029701:Saccharomyces cerevisiae Proteins