Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.

ABSTRACT: Lysine acetylation is a major post-translational modification. It plays a vital role in numerous essential biological processes, such as gene expression and metabolism, and is related to some human diseases. To fully understand the regulatory mechanism of acetylation, identification of acetylation sites is first and most important. However, experimental identification of protein acetylation sites is often time consuming and expensive. Therefore, the alternative computational methods are necessary. Here, we developed a novel tool, KA-predictor, to predict species-specific lysine acetylation sites based on support vector machine (SVM) classifier. We incorporated different types of features and employed an efficient feature selection on each type to form the final optimal feature set for mode

SUBMITTER: Wuyun Q 

PROVIDER: S-EPMC4868276 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature