GRASS: semi-automated NMR-based structure elucidation of saccharides | Zendy

Roman R. Kapaev | Zendy; Filip V. Toukach | Zendy

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GRASS: semi-automated NMR-based structure elucidation of saccharides

Author(s) -

Roman R. Kapaev,

Filip V. Toukach

Publication year - 2017

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/btx696

Subject(s) - glycobiology , computer science , ranking (information retrieval) , usable , biomolecule , computational biology , chemistry , biochemical engineering , information retrieval , world wide web , biochemistry , biology , engineering , glycoprotein , glycan

Carbohydrates play crucial roles in various biochemical processes and are useful for developing drugs and vaccines. However, in case of carbohydrates, the primary structure elucidation is usually a sophisticated task. Therefore, they remain the least structurally characterized class of biomolecules, and it hampers the progress in glycochemistry and glycobiology. Creating a usable instrument designed to assist researchers in natural carbohydrate structure determination would advance glycochemistry in biomedical and pharmaceutical applications.

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