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: 9VE
File name: alatis_output_compound.sdf

Formula: C32Cl2F2H34N3O8S1
Compound mass: 729.5940999999984
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.50
  • Compound probability: 0.08


List of identified carbohydrate fragments:

  • C2H3N1O1
    Fragment probability: 0.50
    Fragment mass: 82.1036
    Fragment main chain atoms: [2, 37, 30]
    Fragment all atoms: [2, 52, 53, 54, 37, 30, 40]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
9VE5OHJ
0OS4DRQ
04M5HN7
4GI4GIV
MSI1GFW

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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).