Journal article

GlycoMine(struct): a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features

Fuyi Li, Chen Li, Jerico Revote, Yang Zhang, Geoffrey I Webb, Jian Li, Jiangning Song, Trevor Lithgow

Scientific Reports | NATURE PUBLISHING GROUP | Published : 2016

Abstract

Glycosylation plays an important role in cell-cell adhesion, ligand-binding and subcellular recognition. Current approaches for predicting protein glycosylation are primarily based on sequence-derived features, while little work has been done to systematically assess the importance of structural features to glycosylation prediction. Here, we propose a novel bioinformatics method called GlycoMinestruct(http://glycomine.erc.monash.edu/Lab/GlycoMine_Struct/) for improved prediction of human N- and O-linked glycosylation sites by combining sequence and structural features in an integrated computational framework with a two-step feature-selection strategy. Experiments indicated that GlycoMinestru..

View full abstract

University of Melbourne Researchers

Grants

Awarded by National Health and Medical Research Council of Australia (NHMRC)


Awarded by National Natural Science Foundation of China


Funding Acknowledgements

This work was supported by grants from the National Health and Medical Research Council of Australia (NHMRC) (1092262), National Natural Science Foundation of China (61202167, 61303169) and the Hundred Talents Program of the Chinese Academy of Sciences (CAS). GIW is a recipient of Discovery Outstanding Research Award (DORA) of the Australian Research Council (ARC). JS is a recipient of the Hundred Talents Program of CAS. TL is an ARC Australian Laureate Fellow.