bioinformatic analysis and post-translational modification crosstalk prediction of lysine acetylation生物信息学分析和翻译修饰相声赖氨酸乙酰化的预测.pdfVIP

bioinformatic analysis and post-translational modification crosstalk prediction of lysine acetylation生物信息学分析和翻译修饰相声赖氨酸乙酰化的预测.pdf

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bioinformatic analysis and post-translational modification crosstalk prediction of lysine acetylation生物信息学分析和翻译修饰相声赖氨酸乙酰化的预测

Bioinformatic Analysis and Post-Translational Modification Crosstalk Prediction of Lysine Acetylation 1 1 1 2,3 Zhike Lu , Zhongyi Cheng , Yingming Zhao *, Samuel L. Volchenboum * 1 Ben May Department for Cancer Research, University of Chicago, Chicago, Illinois, United States of America, 2 Department of Pediatrics, University of Chicago, Chicago, Illinois, United States of America, 3 Computation Institute, University of Chicago, Chicago, Illinois, United States of America Abstract Recent proteomics studies suggest high abundance and a much wider role for lysine acetylation (K-Ac) in cellular functions. Nevertheless, cross influence between K-Ac and other post-translational modifications (PTMs) has not been carefully examined. Here, we used a variety of bioinformatics tools to analyze several available K-Ac datasets. Using gene ontology databases, we demonstrate that K-Ac sites are found in all cellular compartments. KEGG analysis indicates that the K-Ac sites are found on proteins responsible for a diverse and wide array of vital cellular functions. Domain structure prediction shows that K-Ac sites are found throughout a wide variety of protein domains, including those in heat shock proteins and those involved in cell cycle functions and DNA repair. Secondary structure prediction proves that K-Ac sites are preferentially found in ordered structures such as alpha helices and beta sheets. Finally, by mutating K-Ac sites in silico and predicting the effect on nearby phosphorylation sites, we demonstrate that the majority of lysine acetylation sites have the potential to impact protein phosphorylation, methylation, and ubiquitination status. Our work validates earlier smaller-scale studies

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