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

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


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:


Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Lysine / metabolism*
  • Protein Processing, Post-Translational
  • Proteins / chemistry
  • Proteins / metabolism
  • Proteomics
  • Sequence Analysis, Protein
  • Software*
  • Succinates / metabolism*


  • Proteins
  • Succinates
  • Lysine