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Bacterial, Plant, and Fungal Carbohydrate Structure Database (CSDB)

  • Philip Toukach
  • Ksenia Egorova
Reference work entry

Abstract

Carbohydrate Structure Database (CSDB) is a regularly updated database on structures, taxonomy, bibliography, NMR spectra, and other data published for prokaryotic, plant, and fungal carbohydrates and their derivatives, including those containing noncarbohydrate moieties. Key features of this project are high data quality and aiming at full coverage. CSDB has multiple services, such as NMR prediction, NMR-based structure ranking, and tools for statistical analysis. It is freely available at http://csdb.glycoscience.ru.

Keywords

Database Bacteria Fungi Plants Carbohydrate Glycan Structure Taxonomy Bibliography NMR 

Notes

Acknowledgments

CSDB was funded by grants from the International Science and Technology Center (#1197p), Russian Foundation for Basic Research (#05-07-90099 and #12-04-00324), and Russian Federation President program (# MK-1700.2005.4). A part of data came from the CarbBank database (University of Georgia, Athens, USA). Authors thank Prof. Y.A. Knirel for support of the bacterial CSDB.

References

  1. Aoki-Kinoshita KF, Bolleman J, Campbell MP et al (2013) Introducing glycomics data into the semantic web. J Biomed Semant 4:39CrossRefGoogle Scholar
  2. Ceroni A, Dell A, Haslam SM (2007) The GlycanBuilder: a fast, intuitive and flexible software tool for building and displaying glycan structures. Source Code Biol Med 2:3–15CrossRefPubMedPubMedCentralGoogle Scholar
  3. Egorova KS, Toukach PV (2012) Critical analysis of CCSD data quality. J Chem Inf Model 52:2812–2814CrossRefPubMedGoogle Scholar
  4. Egorova KS, Toukach PV (2014) Expansion of coverage of carbohydrate structure database (CSDB). Carbohydr Res 389:112–114Google Scholar
  5. Toukach PV (2011) Bacterial carbohydrate structure database 3: principles and realization. J Chem Inf Model 51:159–170CrossRefPubMedGoogle Scholar
  6. Toukach FV, Ananikov VP (2013) Recent advances in computational predictions of NMR parameters for the structure elucidation of carbohydrates: methods and limitations. Chem Soc Rev 42:8376–8415CrossRefPubMedGoogle Scholar
  7. Toukach FV, Knirel YA (2005) New database of bacterial carbohydrate structures. Glycoconj J 22:216–217Google Scholar
  8. Toukach FV, Shashkov AS (2001) Computer-assisted structural analysis of regular glycopolymers on the basis of13C NMR data. Carbohydr Res 335:101–114CrossRefPubMedGoogle Scholar

Copyright information

© Springer Japan 2015

Authors and Affiliations

  1. 1.N.D. Zelinsky Institute of Organic ChemistryRussian Academy of SciencesMoscowRussia

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