Logo Cheminformatics Tool for Probabilistic Identification of Carbohydrates
(CTPIC)
v 1.1 (Spring 2020)

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Process a structure file

Publication files:

Submission ID: SEE
File name: alatis_output_compound.sdf

Formula: B1C3H9N1O6
Compound mass: 165.91730000000004
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.83
  • Compound probability: 0.64


List of identified carbohydrate fragments:

  • C3H4N1O3
    Fragment probability: 0.83
    Fragment mass: 104.08439999999999
    Fragment main chain atoms: [1, 2, 3]
    Fragment all atoms: [1, 12, 13, 11, 2, 14, 5, 3, 6, 7, 17]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
SEE4ZC6
6AZI
3E2L
2DB2ID8
SER_LFOH_DHG
SER_LEO2_DHG
SEG

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Citation:

  • Hesam Dashti, William M. Westler, Jonathan R. Wedell, Olga V. Demler, Hamid R. Eghbalnia, John L. Markley & Samia Mora, Probabilistic identification of saccharide moieties in biomolecules and their protein complexes, Scientific Data volume 7, Article number: 210 (2020), https://doi.org/10.1038/s41597-020-0547-y, https://www.nature.com/articles/s41597-020-0547-y

Disclaimer:

  • The custom source code, developed using Python3 in the Linux environment. This work is copyrighted under the terms of GPL, and the results are released under CC0 1.0 Universal of the Open Science Framework. The web-service and the source codes are provided on an “as is” basis without warranty of any kind, either expressed or implied. Any usage of the web-server, or modification and application of the source codes are free for academic use when CTPIC publications are cited.
  • The NetwrokX library is used in the CTPIC source codes.
  • The Open Babel software package is used in the CTPIC source codes.

Contact:

For any question or concern please contact Hesam Dashti (hdashti@bwh.harvard.edu).