Literature DB >> 24897372

WURCS: the Web3 unique representation of carbohydrate structures.

Kenichi Tanaka1, Kiyoko F Aoki-Kinoshita, Masaaki Kotera, Hiromichi Sawaki, Shinichiro Tsuchiya, Noriaki Fujita, Toshihide Shikanai, Masaki Kato, Shin Kawano, Issaku Yamada, Hisashi Narimatsu.   

Abstract

In recent years, the Semantic Web has become the focus of life science database development as a means to link life science data in an effective and efficient manner. In order for carbohydrate data to be applied to this new technology, there are two requirements for carbohydrate data representations: (1) a linear notation which can be used as a URI (Uniform Resource Identifier) if needed and (2) a unique notation such that any published glycan structure can be represented distinctively. This latter requirement includes the possible representation of nonstandard monosaccharide units as a part of the glycan structure, as well as compositions, repeating units, and ambiguous structures where linkages/linkage positions are unidentified. Therefore, we have developed the Web3 Unique Representation of Carbohydrate Structures (WURCS) as a new linear notation for representing carbohydrates for the Semantic Web.

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Year:  2014        PMID: 24897372     DOI: 10.1021/ci400571e

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  27 in total

1.  Many InChIs and quite some feat.

Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2015-06-17       Impact factor: 3.686

2.  GlycoRDF: an ontology to standardize glycomics data in RDF.

Authors:  Rene Ranzinger; Kiyoko F Aoki-Kinoshita; Matthew P Campbell; Shin Kawano; Thomas Lütteke; Shujiro Okuda; Daisuke Shinmachi; Toshihide Shikanai; Hiromichi Sawaki; Philip Toukach; Masaaki Matsubara; Issaku Yamada; Hisashi Narimatsu
Journal:  Bioinformatics       Date:  2014-11-11       Impact factor: 6.937

Review 3.  Glycosaminoglycanomics: where we are.

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Journal:  Glycoconj J       Date:  2016-11-30       Impact factor: 2.916

4.  Informatics Ecosystems to Advance the Biology of Glycans.

Authors:  Lewis J Frey
Journal:  Methods Mol Biol       Date:  2022

5.  An Interactive View of Glycosylation.

Authors:  Julien Mariethoz; Davide Alocci; Niclas G Karlsson; Nicolle H Packer; Frédérique Lisacek
Journal:  Methods Mol Biol       Date:  2022

6.  Glycoinformatics Tools for Comprehensive Characterization of Glycans Enzymatically Released from Proteins.

Authors:  Ian Walsh; Sophie Zhao; Katherine Wongtrakul-Kish; Matthew Choo; Shi Jie Tay; Christopher H Taron; Pauline M Rudd; Terry Nguyen-Khuong
Journal:  Methods Mol Biol       Date:  2022

7.  A Knowledge-Based System for Display and Prediction of O-Glycosylation Network Behaviour in Response to Enzyme Knockouts.

Authors:  Andrew G McDonald; Keith F Tipton; Gavin P Davey
Journal:  PLoS Comput Biol       Date:  2016-04-07       Impact factor: 4.475

8.  Property Graph vs RDF Triple Store: A Comparison on Glycan Substructure Search.

Authors:  Davide Alocci; Julien Mariethoz; Oliver Horlacher; Jerven T Bolleman; Matthew P Campbell; Frederique Lisacek
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

9.  The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.

Authors:  Meng-yu Wang; Peng Li; Pei-li Qiao
Journal:  Comput Math Methods Med       Date:  2016-04-03       Impact factor: 2.238

10.  Automatic generation of bioinformatics tools for predicting protein-ligand binding sites.

Authors:  Yusuke Komiyama; Masaki Banno; Kokoro Ueki; Gul Saad; Kentaro Shimizu
Journal:  Bioinformatics       Date:  2015-11-05       Impact factor: 6.937

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