GS-align for glycan structure alignment and similarity measurement | Zendy

Hui Sun Lee | Zendy; Sunhwan Jo | Zendy; S. Mukherjee | Zendy; SangJun Park | Zendy; Jeffrey Skolnick | Zendy; Jooyoung Lee | Zendy; Wonpil Im | Zendy

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GS-align for glycan structure alignment and similarity measurement

Author(s) -

Hui Sun Lee,

Sunhwan Jo,

S. Mukherjee,

SangJun Park,

Jeffrey Skolnick,

Jooyoung Lee,

Wonpil Im

Publication year - 2015

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/btv202

Subject(s) - glycan , protein data bank (rcsb pdb) , computational biology , structural alignment , protein data bank , computer science , similarity (geometry) , structural similarity , sequence alignment , uniprot , benchmark (surveying) , glycomics , protein structure , data mining , biology , artificial intelligence , peptide sequence , gene , glycoprotein , genetics , biochemistry , geodesy , image (mathematics) , geography

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.

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