CCMRD

CCMRD provides a curated database of chemical shift data from solid-state Nuclear Magnetic Resonance (NMR) to support structural and dynamic analysis of insoluble complex carbohydrates.


Key Features:

  • Chemical shift repository: houses chemical shift information from over 400 solid-state NMR compounds.
  • Solid-state NMR focus: organizes data specific to solid-state Nuclear Magnetic Resonance spectroscopy for insoluble complex carbohydrates.
  • Searchable queries: enables queries based on NMR chemical shifts, carbohydrate names, and compound classes.
  • Spectral analysis and structure determination support: facilitates spectral analysis and structure determination using stored chemical shift data.
  • Polymorphism and dynamics data: captures information relevant to polymorphic structure and heterogeneous dynamics of complex carbohydrates.

Scientific Applications:

  • Structural characterization of insoluble complex carbohydrates: supports assignment and interpretation of solid-state NMR chemical shifts for structure determination.
  • Analysis of polymorphism and heterogeneous dynamics: enables study of polymorphic forms and heterogeneous molecular dynamics in carbohydrate biomaterials.
  • Spectral assignment and comparison: enables matching experimental solid-state NMR spectra to reference chemical shifts.
  • Carbohydrate classification and compound-specific queries: facilitates identification and grouping by carbohydrate name and compound class.

Methodology:

Curated chemical shift entries from solid-state NMR are stored and made searchable by chemical shift, carbohydrate name, and compound class to support spectral analysis and structure determination.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
2/9/2021

Operations

Publications

Kang X, Zhao W, Dickwella Widanage MC, Kirui A, Ozdenvar U, Wang T. CCMRD: a solid-state NMR database for complex carbohydrates. Journal of Biomolecular NMR. 2020;74(4-5):239-245. doi:10.1007/s10858-020-00304-2. PMID:32125579.

PMID: 32125579
Funding: - National Science Foundation: 1833040