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Dataset Information

GS-align for glycan structure alignment and similarity measurement.


ABSTRACT:

Motivation

Glycans play critical roles in many biological processes, and their structural diversity is key for specific protein-glycan recognition. Comparative structural studies of biological molecules provide useful insight into their biological relationships. However, most computational tools are designed for protein structure, and despite their importance, there is no currently available tool for comparing glycan structures in a sequence order- and size-independent manner.

Results

A novel method, GS-align, is developed for glycan structure alignment and similarity measurement. GS-align generates possible alignments between two glycan structures through iterative maximum clique search and fragment superposition. The optimal alignment is then determined by the maximum stru

SUBMITTER: Lee HS 

PROVIDER: S-EPMC4528633 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature