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

Authors :
Xu HD
Shi SP
Wen PP
Qiu JD
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2015 Dec 01; Vol. 31 (23), pp. 3748-50. Date of Electronic Publication: 2015 Aug 10.
Publication Year :
2015

Abstract

Unlabelled: 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.<br />Availability and Implementation: A user-friendly server is freely available on the web at: http://bioinfo.ncu.edu.cn/SuccFind.aspx.<br />Contact: jdqiu@ncu.edu.cn.<br />Supplementary Information: Supplementary data are available at Bioinformatics online.<br /> (© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1367-4811
Volume :
31
Issue :
23
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
26261224
Full Text :
https://doi.org/10.1093/bioinformatics/btv439