Literature DB >> 15215393

KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains.

Kiyoko F Aoki1, Atsuko Yamaguchi, Nobuhisa Ueda, Tatsuya Akutsu, Hiroshi Mamitsuka, Susumu Goto, Minoru Kanehisa.   

Abstract

KCaM (KEGG Carbohydrate Matcher) is a tool for the analysis of carbohydrate sugar chains, or glycans. It consists of a web-based graphical user interface that allows users to enter glycans easily with the mouse. The glycan structure is then transformed into our KCF (KEGG Chemical Function) file format and sent to our program which implements an efficient tree-structure alignment algorithm, similar to sequence alignment algorithms but for branched tree structures. Users can also retrieve glycan tree structures in KCF format from their local computers for visualization over the web. The tree-matching algorithm provides several options for performing different types of tree-matching procedures on glycans. These options consist of whether to incorporate gaps in a match, whether to take the linkage information into consideration and local versus global alignment. The results of this program are returned as a list of glycan structures in order of similarity based on these options. The actual alignment can be viewed graphically, and the annotation information can also be viewed easily since all this information is linked with KEGG's comprehensive suite of genomic data. Analogously to BLAST, users are thus able to compare glycan structures of interest with glycans from different glycan databases using a variety of tree-alignment options. KCaM is currently available at http://glycan.genome.ad.jp.

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Year:  2004        PMID: 15215393      PMCID: PMC441611          DOI: 10.1093/nar/gkh473

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  10 in total

1.  The KEGG resource for deciphering the genome.

Authors:  Minoru Kanehisa; Susumu Goto; Shuichi Kawashima; Yasushi Okuno; Masahiro Hattori
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Databases of complex carbohydrates.

Authors:  J A van Kuik; J F Vliegenthart
Journal:  Trends Biotechnol       Date:  1992-06       Impact factor: 19.536

3.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

4.  SWEET-DB: an attempt to create annotated data collections for carbohydrates.

Authors:  Alexander Loss; Peter Bunsmann; Andreas Bohne; Annika Loss; Eberhard Schwarzer; Elke Lang; Claus-W von der Lieth
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 5.  Two distinct classes of carbohydrate-recognition domains in animal lectins.

Authors:  K Drickamer
Journal:  J Biol Chem       Date:  1988-07-15       Impact factor: 5.157

6.  Identification of common molecular subsequences.

Authors:  T F Smith; M S Waterman
Journal:  J Mol Biol       Date:  1981-03-25       Impact factor: 5.469

Review 7.  Chemical glycobiology.

Authors:  C R Bertozzi; L L Kiessling
Journal:  Science       Date:  2001-03-23       Impact factor: 47.728

8.  Efficient tree-matching methods for accurate carbohydrate database queries.

Authors:  Kiyoko F Aoki; Atsuko Yamaguchi; Yasushi Okuno; Tatsuya Akutsu; Nobuhisa Ueda; Minoru Kanehisa; Hiroshi Mamitsuka
Journal:  Genome Inform       Date:  2003

9.  A 1H NMR database computer program for the analysis of the primary structure of complex carbohydrates.

Authors:  J A van Kuik; K Hård; J F Vliegenthart
Journal:  Carbohydr Res       Date:  1992-11-04       Impact factor: 2.104

10.  The Complex Carbohydrate Structure Database.

Authors:  S Doubet; K Bock; D Smith; A Darvill; P Albersheim
Journal:  Trends Biochem Sci       Date:  1989-12       Impact factor: 13.807

  10 in total
  21 in total

1.  A clique-based method using dynamic programming for computing edit distance between unordered trees.

Authors:  Tomoya Mori; Takeyuki Tamura; Daiji Fukagawa; Atsuhiro Takasu; Etsuji Tomita; Tatsuya Akutsu
Journal:  J Comput Biol       Date:  2012-10       Impact factor: 1.479

Review 2.  Using databases and web resources for glycomics research.

Authors:  Kiyoko F Aoki-Kinoshita
Journal:  Mol Cell Proteomics       Date:  2013-01-16       Impact factor: 5.911

3.  DrawGlycan-SNFG: a robust tool to render glycans and glycopeptides with fragmentation information.

Authors:  Kai Cheng; Yusen Zhou; Sriram Neelamegham
Journal:  Glycobiology       Date:  2017-03-15       Impact factor: 4.313

4.  Informatics Ecosystems to Advance the Biology of Glycans.

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

5.  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

6.  The DBCLS BioHackathon: standardization and interoperability for bioinformatics web services and workflows. The DBCLS BioHackathon Consortium*.

Authors:  Toshiaki Katayama; Kazuharu Arakawa; Mitsuteru Nakao; Keiichiro Ono; Kiyoko F Aoki-Kinoshita; Yasunori Yamamoto; Atsuko Yamaguchi; Shuichi Kawashima; Hong-Woo Chun; Jan Aerts; Bruno Aranda; Lord Hendrix Barboza; Raoul Jp Bonnal; Richard Bruskiewich; Jan C Bryne; José M Fernández; Akira Funahashi; Paul Mk Gordon; Naohisa Goto; Andreas Groscurth; Alex Gutteridge; Richard Holland; Yoshinobu Kano; Edward A Kawas; Arnaud Kerhornou; Eri Kibukawa; Akira R Kinjo; Michael Kuhn; Hilmar Lapp; Heikki Lehvaslaiho; Hiroyuki Nakamura; Yasukazu Nakamura; Tatsuya Nishizawa; Chikashi Nobata; Tamotsu Noguchi; Thomas M Oinn; Shinobu Okamoto; Stuart Owen; Evangelos Pafilis; Matthew Pocock; Pjotr Prins; René Ranzinger; Florian Reisinger; Lukasz Salwinski; Mark Schreiber; Martin Senger; Yasumasa Shigemoto; Daron M Standley; Hideaki Sugawara; Toshiyuki Tashiro; Oswaldo Trelles; Rutger A Vos; Mark D Wilkinson; William York; Christian M Zmasek; Kiyoshi Asai; Toshihisa Takagi
Journal:  J Biomed Semantics       Date:  2010-08-21

Review 7.  Bioinformatics and molecular modeling in glycobiology.

Authors:  Martin Frank; Siegfried Schloissnig
Journal:  Cell Mol Life Sci       Date:  2010-04-04       Impact factor: 9.261

8.  EUROCarbDB: An open-access platform for glycoinformatics.

Authors:  Claus-Wilhelm von der Lieth; Ana Ardá Freire; Dennis Blank; Matthew P Campbell; Alessio Ceroni; David R Damerell; Anne Dell; Raymond A Dwek; Beat Ernst; Rasmus Fogh; Martin Frank; Hildegard Geyer; Rudolf Geyer; Mathew J Harrison; Kim Henrick; Stefan Herget; William E Hull; John Ionides; Hiren J Joshi; Johannis P Kamerling; Bas R Leeflang; Thomas Lütteke; Magnus Lundborg; Kai Maass; Anthony Merry; René Ranzinger; Jimmy Rosen; Louise Royle; Pauline M Rudd; Siegfried Schloissnig; Roland Stenutz; Wim F Vranken; Göran Widmalm; Stuart M Haslam
Journal:  Glycobiology       Date:  2010-11-23       Impact factor: 4.313

9.  A clique-based method for the edit distance between unordered trees and its application to analysis of glycan structures.

Authors:  Daiji Fukagawa; Takeyuki Tamura; Atsuhiro Takasu; Etsuji Tomita; Tatsuya Akutsu
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

10.  Combined Analysis of Multiple Glycan-Array Datasets: New Explorations of Protein-Glycan Interactions.

Authors:  Zachary Klamer; Brian Haab
Journal:  Anal Chem       Date:  2021-07-28       Impact factor: 6.986

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