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


METHODS
A user-friendly server is freely available on the web at: http://bioinfo.ncu.edu.cn/SuccFind.aspx.


BACKGROUND
jdqiu@ncu.edu.cn.


BACKGROUND
Supplementary data are available at Bioinformatics online.
Department of Chemistry.
Hao-Dong
HD
Xu
Department of Mathematics, Nanchang University, Nanchang 330031, China and.
Shao-Ping
SP
Shi
Department of Chemistry.
Ping-Ping
PP
Wen
Department of Chemistry, Department of Chemical Engineering, Pingxiang University, Pingxiang 337055, China.
Jian-Ding
JD
Qiu
D008239:Lysine / Q000378:metabolism*; D011499:Protein Processing, Post-Translational; D011506:Proteins / Q000737:chemistry / Q000378:metabolism; D040901:Proteomics; D020539:Sequence Analysis, Protein; D012984:Software; D013386:Succinates / Q000378:metabolism*
D011506:Proteins; D013386:Succinates; D008239:Lysine