Identifying glycan motifs using a novel subtree mining approach.

ABSTRACT:

Background

Glycans are complex sugar chains, crucial to many biological processes. By participating in binding interactions with proteins, glycans often play key roles in host-pathogen interactions. The specificities of glycan-binding proteins, such as lectins and antibodies, are governed by motifs within larger glycan structures, and improved characterisations of these determinants would aid research into human diseases. Identification of motifs has previously been approached as a frequent subtree mining problem, and we extend these approaches with a glycan notation that allows recognition of terminal motifs.

Results

In this work, we customised a frequent subtree mining approach by altering the glycan notation to include information on terminal connections. This allows spec

SUBMITTER: Coff L 

PROVIDER: S-EPMC7001330 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature