SuccFind: a novel succinylation sites online prediction tool via enhanced characteristic strategy

• DOI: 10.1093/bioinformatics/btv439
• Publication Date: 2015-08-11T01:50:30Z
• Authors: Hao-Dong Xu; Shao-Ping Shi; Ping-Ping Wen; Jian-Ding Qiu
• Keywords: Proteomics; 0301 basic medicine; 03 medical and health sciences; Sequence Analysis, Protein; Lysine; Proteins; Succinates; Protein Processing, Post-Translational; Software

Abstract Summary: Lysine succinylation orchestrates a variety of biological processes. Annotation of succinylation in proteomes is the first-crucial step to decipher physiological roles of succinylation implicated in the pathological processes. In this work, we developed a novel succinylation site online prediction tool, called SuccFind, which is constructed to predict the lysine succinylation sites based on two major categories of characteristics: sequence-derived features and evolutionary-derived information of sequence and via an enhanced feature strategy for further optimizations. The assessment results obtained from cross-validation suggest that SuccFind can provide more instructive guidance for further experimental investigation of protein succinylation. Availability and implementation: A user-friendly server is freely available on the web at: http://bioinfo.ncu.edu.cn/SuccFind.aspx Contact: [e-mail] Supplementary information: Supplementary data are available at Bioinformatics online.