Skip to main content
SpringerLink
Log in

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

  • Living reference work entry
  • First Online:
Glycoscience: Biology and Medicine

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  • Aoki-Kinoshita KF, Bolleman J, Campbell MP et al (2013) Introducing glycomics data into the semantic web. J Biomed Semant 4:39

    Article  Google Scholar 

  • 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 2:3–15

    Article  PubMed Central  PubMed  Google Scholar 

  • Egorova KS, Toukach PV (2012) Critical analysis of CCSD data quality. J Chem Inf Model 52:2812–2814

    Article  CAS  PubMed  Google Scholar 

  • Egorova KS, Toukach PV (2014) Expansion of coverage of carbohydrate structure database (CSDB). Carbohydr Res 389:112–114

    Google Scholar 

  • Toukach PV (2011) Bacterial carbohydrate structure database 3: principles and realization. J Chem Inf Model 51:159–170

    Article  CAS  PubMed  Google Scholar 

  • 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 42:8376–8415

    Article  CAS  PubMed  Google Scholar 

  • Toukach FV, Knirel YA (2005) New database of bacterial carbohydrate structures. Glycoconj J 22:216–217

    Google Scholar 

  • Toukach FV, Shashkov AS (2001) Computer-assisted structural analysis of regular glycopolymers on the basis of13C NMR data. Carbohydr Res 335:101–114

    Article  CAS  PubMed  Google Scholar 

Download references

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.

Author information

Authors and Affiliations

  1. N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia

    Dr. Philip Toukach & Dr. Ksenia Egorova

Authors
  1. Dr. Philip Toukach
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dr. Ksenia Egorova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Philip Toukach .

Editor information

Editors and Affiliations

  1. Tokyo Metropolitan Institute of Gerontology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan

    Tamao Endo

  2. Department of Biomolecular Systems, Max-Planck-Institute of Colloids and Interfaces, Potsdam, Germany

    Peter H. Seeberger

  3. Dept. Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

    Gerald W. Hart

  4. Academia Sinica, Nankang, Taipei, Taiwan

    Chi-Huey Wong

  5. Systems Glycobiology Group, RIKEN-Max Planck Joint Research Center for Systems Chemical Biology, Wako, Saitama, Japan

    Naoyuki Taniguchi

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Japan

About this entry

Cite this entry

Toukach, P., Egorova, K. (2014). Bacterial, Plant, and Fungal Carbohydrate Structure Database (CSDB). In: Endo, T., Seeberger, P., Hart, G., Wong, CH., Taniguchi, N. (eds) Glycoscience: Biology and Medicine. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54836-2_24-1

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-54836-2_24-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Tokyo

  • Online ISBN: 978-4-431-54836-2

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics

Search

Navigation