Computational prediction of lysine acetylation proteome-wide.

Methods Mol Biol
Authors
Keywords
Abstract

Several studies have contributed to our knowledge of the enzymology underlying acetylation, including focused efforts to understand the molecular mechanism of substrate recognition by several acetyltransferases; however, conventional experiments to determine intrinsic features of substrate site specificity have proven challenging. In this chapter, I describe in detail a computational method that involves clustering analysis of protein sequences to predict protein acetylation based on the sequence characteristics of acetylated lysines within histones. This method illustrates that sequence composition has predictive power on datasets of acetylation marks, and can be used to predict other posttranslational modifications such as methylation and phosphorylation. Later in this chapter, other recent methods to predict lysine acetylation are described and together, these approaches combined with more traditional experimental methods, can be useful for identifying acetylated substrates proteome-wide.

Year of Publication
2013
Journal
Methods Mol Biol
Volume
981
Pages
127-36
Date Published
2013
ISSN
1940-6029
URL
DOI
10.1007/978-1-62703-305-3_10
PubMed ID
23381858
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