Computational prediction of N-linked glycosylation incorporating structural properties and patterns | Zendy

GwoYu Chuang | Zendy; Jeffrey C. Boyington | Zendy; Michael Joyce | Zendy; Jiang Zhu | Zendy; Gary J. Nabel | Zendy; Peter D. Kwong | Zendy; Ivelin S. Georgiev | Zendy

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Computational prediction of N-linked glycosylation incorporating structural properties and patterns

Author(s) -

GwoYu Chuang,

Jeffrey C. Boyington,

Michael Joyce,

Jiang Zhu,

Gary J. Nabel,

Peter D. Kwong,

Ivelin S. Georgiev

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts426

Subject(s) - glycan , classifier (uml) , computer science , glycosylation , random forest , server , web server , occupancy , sequence (biology) , artificial intelligence , computational biology , algorithm , bioinformatics , chemistry , biology , biochemistry , the internet , world wide web , glycoprotein , ecology

N-linked glycosylation occurs predominantly at the N-X-T/S motif, where X is any amino acid except proline. Not all N-X-T/S sequons are glycosylated, and a number of web servers for predicting N-linked glycan occupancy using sequence and/or residue pattern information have been developed. None of the currently available servers, however, utilizes protein structural information for the prediction of N-glycan occupancy.

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