Format

Send to

Choose Destination
Bioinformatics. 2015 Dec 1;31(23):3748-50. doi: 10.1093/bioinformatics/btv439. Epub 2015 Aug 10.

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

Author information

1
Department of Chemistry.
2
Department of Mathematics, Nanchang University, Nanchang 330031, China and.
3
Department of Chemistry, Department of Chemical Engineering, Pingxiang University, Pingxiang 337055, China.

Abstract

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:

jdqiu@ncu.edu.cn.

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
26261224
DOI:
10.1093/bioinformatics/btv439
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Silverchair Information Systems
Loading ...
Support Center