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: G9Y
File name: alatis_output_compound.sdf

Formula: C22H23N3O3
Compound mass: 377.4354
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.44
  • Compound probability: 0.14


List of identified carbohydrate fragments:

  • C4H7
    Fragment probability: 0.44
    Fragment mass: 41.0716
    Fragment main chain atoms: [1, 2]
    Fragment all atoms: [1, 29, 30, 2, 31, 3, 32, 33, 9, 39, 40]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
G9Y6DF4
67C5I1Q
6BQA
G9V6DF7
69G5I7Y
6BQD
5I88
67B5I29
5I7X
5I80

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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).