期刊
BIOINFORMATICS
卷 31, 期 23, 页码 3748-3750出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btv439
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资金
- National Natural Science Foundation of China [21175064, 21305062]
- Program for New Century Excellent Talents in University [NCET-11-1002]
The 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.
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