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Carbohydrate Structure Database

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Carbohydrate Structure Database
Content
DescriptionNatural carbohydrate structures with NMR, bibliographic and biological annotations.
Data types
captured		carbohydrate structures and related data
Organisms
Contact
Research centerZelinsky Institute of Organic Chemistry
AuthorsPhilip V. Toukach, Yuri A. Knirel et al.
Primary citationCarbohydrate Structure Database [1]
Release date2005
Access
Websitehttp://csdb.glycoscience.ru/
Download URLexport feature in web-interface
Tools
Web
Miscellaneous
Versioningyes
Data release
frequency		annual
Version1 (merged)
Curation policyyes (manual and automatic)

Carbohydrate Structure Database (CSDB) is a free database and service platform in glycoinformatics, launched in 2005[2] by a group of Russian scientists from N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences. CSDB stores structural and spectral data on natural carbohydrates and carbohydrate-related molecules.

Overview

The main data stored in CSDB are carbohydrate structures of bacterial, fungal, and plant origin. Each structure is assigned to an organism and is provided with the link(s) to the corresponding scientific publication(s), in which it was described. Apart from structural data, CSDB also stores NMR spectra, information on methods used to decipher a particular structure, and some other data.[1][3] CSDB provides access to several carbohydrate-related research tools:

History and funding

Until 2015, Bacterial Carbohydrate Structure Database (BCSDB) and Plant&Fungal Carbohydrate Structure Database (PFCSDB) databases existed in parallel. In 2015, they were joined into the single Carbohydrate Structure Database (CSDB).[1] The development and maintenance of CSDB have been funded by International Science and Technology Center (2005-2007), Russian Federation President grant program (2005-2006), Russian Foundation for Basic Research (2005-2007,2012-2014,2015-2017), and Deutsches Krebsforschungszentrum (short-term in 2006-2010).

Data sources and coverage

The main sources of CSDB data are:

The data are selected and added to CSDB manually by browsing original scientific publications. The data originating from other databases are subject to error-correction and approval procedures.[11] As of the beginning of 2017, the coverage on bacteria and archaea is ca. 80% of carbohydrate structures published in scientific literature in the years 1943 - 2015.[1] The time lag between the publication of relative data and their deposition into CSDB is about 18 months. Plants are covered up to 1997, and fungi up to 2005.[12] CSDB does not cover data from the animalia domain, except unicellular metazoa. There is a number of dedicated databases on animal carbohydrates, e.g. UniCarbKB [13] or GLYCOSCIENCES.de.[14]

CSDB is reported as one of the biggest projects in glycoinformatics.[15][16][17][18][19][20][21] It is employed in structural studies of natural carbohydrates[22][23][24] and in glyco-profiling.[25] The content of CSDB has been used as a data source in other glycoinformatics projects.[26][27][28][29]

Interrelation with other databases

CSDB is cross-linked to other glycomics databases,[30][31] such as MonosaccharideDB, Glycosciences.DE, NCBI Pubmed, NCBI Taxonomy, NLM catalog, etc. Structures are presented in multiple carbohydrate notations (SNFG,[32] SweetDB,[33] GlycoCT,[34] WURCS,[35] GLYCAM,[36] etc.). CSDB is exportable as an Resource Description Framework (RDF) feed according to the GlycoRDF ontology.[37][38]

References

  1. ^ a b c d Toukach Ph.V.; Egorova K.S. (2016). "Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts". Nucleic Acids Research - Database Issue. 44 (D1): D1229 – D1236. doi:10.1093/nar/gkv840. PMID 26286194.
  2. ^ Toukach F.V.; Knirel Y.A. (2005). "New database of bacterial carbohydrate structures". Glycoconjugate Journal. 22 (4–6): 216–217.
  3. ^ Harvey D.J. (2015). "Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2011-2012". Mass Spectrometry Reviews. doi:10.1002/mas.21471. PMID 26270629.
  4. ^ Kapaev R.R.; Egorova K.S.; Toukach Ph.V. (2014). "Carbohydrate structure generalization scheme for database-driven simulation of experimental observables, such as NMR chemical shifts". Journal of chemical information and modeling. 54 (9): 2594–2611. doi:10.1021/ci500267u. PMID 25020143.
  5. ^ Kapaev R.R.; Toukach Ph.V. (2015). "Improved carbohydrate structure generalization scheme for 1H and 13C NMR simulations". Analytical Chemistry. 87: 7006–7010. doi:10.1021/acs.analchem.5b01413. PMID 26087011.
  6. ^ Kapaev R.R.; Toukach Ph.V. (2016). "Simulation of 2D NMR Spectra of Carbohydrates Using GODESS Software". Journal of chemical information and modeling. 56: 1100–1104. doi:10.1021/acs.jcim.6b00083. PMID 27227420.
  7. ^ a b Egorova K.S.; Kondakova A.N.; Toukach Ph.V. (2015). "Carbohydrate structure database: tools for statistical analysis of bacterial, plant and fungal glycomes". Database: ID bav073. doi:10.1093/database/bav073. PMID 26337239.
  8. ^ Herget S.; Toukach Ph.V.; Ranzinger R.; Hull W.E.; Knirel Y.; von der Lieth C.-W. (2008). "Statistical analysis of the Bacterial Carbohydrate Structure Data Base (BCSDB): Characteristics and diversity of bacterial carbohydrates in comparison with mammalian glycans". BMC Structural Biology. 8: ID 35. doi:10.1186/1472-6807-8-35. PMID 18694500.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  9. ^ Toukach Ph.V.; Egorova K.S. (2016). "CSDB_GT: a new curated database on glycosyltransferases". Glycobiology. in production. doi:10.1093/glycob/cww137.
  10. ^ Doubet S.; Albersheim P. (1992). "CarbBank". Glycobiology. 2 (6): 505–507. PMID 1472756.
  11. ^ Egorova K.S.; Toukach Ph.V. (2012). "Critical analysis of CCSD data quality". Journal of Chemical Information and Modeling. 52: 2812–2814. doi:10.1021/ci3002815. PMID 23025661.
  12. ^ Egorova K.S.; Toukach Ph.V. (2013). "Expansion of coverage of Carbohydrate Structure Database (CSDB)". Carbohydrate Research. 389: 112–114. doi:10.1016/j.carres.2013.10.009. PMID 24680503.
  13. ^ Campbell M.P.; Packer N.H. (2016). "UniCarbKB: New database features for integrating glycan structure abundance, compositional glycoproteomics data, and disease associations". Biochimica et Biophysica Acta. 1860 (8): 1669–1675. doi:10.1016/j.bbagen.2016.02.016. PMID 26940363.
  14. ^ Lütteke T.; Bohne-Lang A.; Loss A.; Goetz T.; Frank M.; von der Lieth C.-W. (2006). "GLYCOSCIENCES.de: an Internet portal to support glycomics and glycobiology research". Glycobiology. 16 (5): 71R – 81R. doi:10.1093/glycob/cwj049. PMID 16239495.
  15. ^ Rigden D.J.; Fernández-Suárez X.M.; Galperin M.Y. (2016). "The 2016 database issue of Nucleic Acids Research and an updated molecular biology database collection". Nucleic Acids Research. 44 (D1): D1 – D6. doi:10.1093/nar/gkv1356. PMID 26740669.
  16. ^ Aoki-Kinoshita K.F. (2013). "Using databases and web resources for glycomics research". Molecular and Cellular Proteomics. 12 (4): 1036–1045. doi:10.1074/mcp.R112.026252. PMID 23325765.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  17. ^ Frank M.; Schloissnig S. (2010). "Bioinformatics and molecular modeling in glycobiology". Cellular and Molecular Life Sciences. 67 (16): 2749–2772. doi:10.1007/s00018-010-0352-4. PMID 20364395.
  18. ^ Artemenko N.V.; McDonald A.G.; Davey G.P.; Rudd P.M. (2012). "Databases and tools in glycobiology". Methods in Molecular Biology. 899: 325–350. doi:10.1007/978-1-61779-921-1_21. PMID 22735963.
  19. ^ Lütteke T. (2012). "The use of glycoinformatics in glycochemistry". Beilstein Journal of Organic Chemistry. 8: 915–929. doi:10.3762/bjoc.8.104. PMID 23015842.
  20. ^ Zhulin I.B. (2015). "Databases for Microbiologists". Journal of Bacteriology. 197 (15): 2458–2467. doi:10.1128/JB.00330-15. PMID 26013493.
  21. ^ Yamada K.; Kakehi K. (2011). "Recent advances in the analysis of carbohydrates for biomedical use". Journal of pharmaceutical and biomedical analysis. 55 (4): 702–727. doi:10.1016/j.jpba.2011.02.003. PMID 21382683.
  22. ^ Fontana C.; Zaccheus M.; Weintraub A.; Ansaruzzaman M.; Widmalm G. (2016). "Structural studies of a polysaccharide from Vibrio parahaemolyticus strain AN-16000". Carbohydrate Research. 432: 41–49. doi:10.1016/j.carres.2016.06.004. PMID 27392309.
  23. ^ Potekhina N.V.; Shashkov A.S.; Senchenkova S.N.; Dorofeeva L.V.; Evtushenko L.I. (2012). "Structure of hexasaccharide 1-phosphate polymer from Arthrobacter uratoxydans VKM Ac-1979(T) cell wall". Biochemistry (Moscow). 77 (11): 1294–1302. doi:10.1134/S0006297912110089. PMID 23240567.
  24. ^ Chapot-Chartier M.P.; Vinogradov E.; Sadovskaya I.; Andre G.; Mistou M.Y.; Trieu-Cuot P.; Furlan S.; Bidnenko E.; Courtin P.; Péchoux C.; Hols P.; Dufrêne Y.F.; Kulakauskas S. (2010). "Cell surface of Lactococcus lactis is covered by a protective polysaccharide pellicle". Journal of Biological Chemistry. 285 (14): 10464–10471. doi:10.1074/jbc.M109.082958. PMID 20106971.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  25. ^ Walsh I.; Zhao S.; Campbell M.; Taron C.H.; Rudd P.M. (2016). "Quantitative profiling of glycans and glycopeptides: an informatics' perspective". Current Opinon in Structural Biology. 40: 70–80. doi:10.1016/j.sbi.2016.07.022. PMID 27522273.
  26. ^ Ranzinger R.; York W.S. (2015). "GlycomeDB". Methods in Molecular Biology. 1273: 109–124. doi:10.1007/978-1-4939-2343-4_8. PMID 25753706.
  27. ^ Ranzinger R.; Herget S.; von der Lieth C.-W.; Frank M. (2011). "GlycomeDB - a unified database for carbohydrate structures". Nucleic Acids Research - Database Issue. 39: D373-376. doi:10.1093/nar/gkq1014. PMID 21045056.
  28. ^ Aoki-Kinoshita K.F.; et al. (2016). "GlyTouCan 1.0 - The international glycan structure repository". Nucleic Acids Research - Database Issue. 44 (D1): D1237-1242. doi:10.1093/nar/gkv1041. PMID 26476458. {{cite journal}}: Explicit use of et al. in: |author= (help)
  29. ^ Campbell M.P.; Ranzinger R.; Lütteke T.; Mariethoz J.; Hayes CA.; Zhang J.; Akune Y.; Aoki-Kinoshita K.F.; Damerell D.; Carta G.; York W.S.; Haslam S.M.; Narimatsu H.; Rudd P.M.; Karlsson N.G.; Packer N.H.; Lisacek F. (2014). "Toolboxes for a standardised and systematic study of glycans". BMC Bioinformatics. 15: Suppl 1:S9. doi:10.1186/1471-2105-15-S1-S9. PMID 24564482.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  30. ^ Ranzinger R.; Herget S.; Wetter T.; von der Lieth C.-W. (2008). "GlycomeDB - integration of open-access carbohydrate structure databases". BMC Bioinformatics. 9: ID 384. doi:10.1186/1471-2105-9-384. PMID 18803830.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  31. ^ Toukach Ph.V.; Joshi H.; Ranzinger R.; Knirel Y.; von der Lieth C.-W. (2007). "Sharing of worldwide distributed carbohydrate-related digital resources: online connection of the Bacterial Carbohydrate Structure DataBase and GLYCOSCIENCES.de". Nucleic Acids Research - Database Issue. 35: D280 – D286. doi:10.1093/nar/gkl883. PMID 17202164.
  32. ^ Varki A.; et al. (2015). "Symbol Nomenclature for Graphical Representations of Glycans". Glycobiology. 25 (12): 1323–1324. doi:10.1093/glycob/cwv091. PMID 26543186. {{cite journal}}: Explicit use of et al. in: |author= (help)
  33. ^ Loss A.; Bunsmann P.; Bohne A.; Loss A.; Schwarzer E.; Lang E.; von der Lieth C.-W. (2002). "SWEET-DB: an attempt to create annotated data collections for carbohydrates". Nucleic Acids Research. 30 (1): 405–408. PMID 11752350.
  34. ^ Herget S.; Ranzinger R.; Maass K.; von der Lieth C.-W. (2008). "GlycoCT - a unifying sequence format for carbohydrates". Carbohydrate Research. 343 (12): 2162–2171. doi:10.1016/j.carres.2008.03.011. PMID 18436199.
  35. ^ Tanaka K.; Aoki-Kinoshita K.F.; Kotera M.; Sawaki H.; Tsuchiya S.; Fujita N.; Shikanai T.; Kato M.; Kawano S.; Yamada I.; Narimatsu H. (2014). "WURCS: the Web3 unique representation of carbohydrate structures". Journal of Chemical Information and Modeling. 54 (6): 1558–1566. doi:10.1021/ci400571e. PMID 24897372.
  36. ^ Kirschner K.N.; Yongye A.B.; Tschampel S.M.; González-Outeiriño J.; Daniels C.R.; Foley B.L.; Woods R.J. (2008). "GLYCAM06: a generalizable biomolecular force field. Carbohydrates". Journal of Computational Chemistry. 29 (4): 622–655. doi:10.1002/jcc.20820. PMID 17849372.
  37. ^ Ranzinger R.; Aoki-Kinoshita K.F.; Campbell M.P.; Kawano S.; Lütteke T.; Okuda S.; Shinmachi D.; Shikanai T.; Sawaki H.; Toukach Ph.V.; Matsubara M.; Yamada I.; Narimatsu H. (2015). "GlycoRDF: An ontology to standardize Glycomics data in RDF". Bioinformatics. 31 (6): 919–925. doi:10.1093/bioinformatics/btu732. PMID 25388145.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  38. ^ Aoki-Kinoshita K.F.; Bolleman J.; Campbell M.P.; Kawano S.; Kim J.; Lütteke T.; Matsubara M.; Okuda S.; Ranzinger R.; Sawaki H.; Shikanai T.; Shinmachi D.; Suzuki Y.; Toukach Ph.V.; Yamada I.; Packer N.H.; Narimatsu H. (2013). "Introducing glycomics data into the Semantic Web". Journal of Biomedical Semantics. 4: ID 39. doi:10.1186/2041-1480-4-39. PMID 24280648.{{cite journal}}: CS1 maint: multiple names: authors list (link) CS1 maint: unflagged free DOI (link)
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