Literature DB >> 11675023

LINUCS: linear notation for unique description of carbohydrate sequences.

A Bohne-Lang1, E Lang, T Förster, C W von der Lieth.   

Abstract

The use of proteomics databases has become indispensable for daily work of molecular biologists, but this situation has not yet been achieved for carbohydrate applications. One obvious reason is that existing data collections are only rarely annotated and no cross-linking to other resources exists. The existence of a generally accepted linear, canonical description for carbohydrates which can be readily processed by computers will enable efficient automatic cross-linking of distributed carbohydrate data collections by serving as a unique and unambiguous database access key. Various possibilities to derive a canonical notation are discussed. They can be divided into attempts that require structure description alone and alternatives that profit from the fact that a preferred graph direction (non-reducing to reducing end) exists within the structure. To open a fruitful discussion among glycoscientists a possible solution is presented where the reducing monosaccharide unit is selected as graph root and linkage information is used to define the priority of the various branches. A Web interface (http://www.dkfz.de/spec/linucs/) has been created that directly converts the commonly used extended representation of complex carbohydrates into the preferred canonical description or into its inverted form.

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Year:  2001        PMID: 11675023     DOI: 10.1016/s0008-6215(01)00230-0

Source DB:  PubMed          Journal:  Carbohydr Res        ISSN: 0008-6215            Impact factor:   2.104


  37 in total

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Authors:  Gang Liu; Sriram Neelamegham
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2.  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 3.  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

4.  GlycoPattern: a web platform for glycan array mining.

Authors:  Sanjay B Agravat; Joel H Saltz; Richard D Cummings; David F Smith
Journal:  Bioinformatics       Date:  2014-08-20       Impact factor: 6.937

5.  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

6.  GlycoForm and Glycologue: two software applications for the rapid construction and display of N-glycans from mammalian sources.

Authors:  Andrew G McDonald; Keith F Tipton; Corné Jm Stroop; Gavin P Davey
Journal:  BMC Res Notes       Date:  2010-06-18

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.  O-Glycosylated 24 kDa human growth hormone has a mucin-like biantennary disialylated tetrasaccharide attached at Thr-60.

Authors:  Juan J Bustamante; Leticia Gonzalez; Christopher A Carroll; Susan T Weintraub; Roberto M Aguilar; Jesus Muñoz; Andrew O Martinez; Luis S Haro
Journal:  Proteomics       Date:  2009-07       Impact factor: 3.984

9.  Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank.

Authors:  Sang-Jun Park; Jumin Lee; Dhilon S Patel; Hongjing Ma; Hui Sun Lee; Sunhwan Jo; Wonpil Im
Journal:  Bioinformatics       Date:  2017-10-01       Impact factor: 6.937

10.  Analysis and validation of carbohydrate three-dimensional structures.

Authors:  Thomas Lütteke
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-01-20
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