SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models

SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models

Abstract Background S-sulphenylation is a ubiquitous protein post-translational modification (PTM) where an S-hydroxyl (−SOH) bond is formed via the reversible oxidation on the Sulfhydryl group of cysteine (C). Recent experimental studies have revealed that S-sulphenylation plays critical roles in m...

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Bibliographic Details
Main Authors: Xiaochuan Wang, Chen Li, Fuyi Li, Varun S. Sharma, Jiangning Song, Geoffrey I. Webb
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Bioinformatics
Subjects:
Protein post-translational modification
S-sulphenylation
Bioinformatics software
Machine learning
Ensemble learning
Online Access:http://link.springer.com/article/10.1186/s12859-019-3178-6

Internet

http://link.springer.com/article/10.1186/s12859-019-3178-6

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