会议专题

Site selectivity for protein tyrosine nitration: insights from features of structure and topological network

Tyrosine nitration is a covalent post-translational modification, which regulates protein functions such as hindering tyrosine phosphorylation and affecting essential signal transductions in cells.Based on up-to-date proteornics data, tyrosine nitration appears to be a highly selective process since not all tyrosine residues in proteins or all proteins are nitrated in vivo.Quite a few investigations included the protein structural information from the RCSB PDB database, where near 100000 high-quality three-dimensional structures are available.In this work we analyzed the local protein structures and amino acid topobgical networks of the nitrated and non-nitrated tyrosine sites in nitrated proteins, including neighboring atomic distribution, amino acid pair (AAP) and amino acid triangle (AAT).It has been found that aromatic and aliphatic residues, particularly with large volume, aromatic aliphatic, or acidic side chains, are disfavored for the nitration.After integrating these structural features and topological network features with traditional sequence features, the predictive model achieves a sensitivity of 63.30% and a specificity of 92.24%, resulting in a much better accuracy compared to the previous models with only protein sequence information.Our investigation implies that the site selectivity may stem from a more open, hydrophilic and high-pH chemical environment around the tyrosine residue.

Shangli Cheng Baofeng Lian Juan Liang Ting Shi Lu Xie Yi-Lei Zhao

Stata Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, and MOE Key Stata Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, and MOE Key Shanghai Center for Bioinformation Technology, Shanghai 201203, China

国内会议

第七届国际分子模拟与信息技术应用学术会议

苏州

英文

338-346

2014-10-26(万方平台首次上网日期,不代表论文的发表时间)