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: I31
File name: alatis_output_compound.sdf

Formula: C29Cl2H32N2O1
Compound mass: 495.48189999999994
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.38
  • Compound probability: 0.06


List of identified carbohydrate fragments:

  • C2H3
    Fragment probability: 0.38
    Fragment mass: 69.1246
    Fragment main chain atoms: [4, 27]
    Fragment all atoms: [4, 44, 45, 46, 27]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
I314J7D
IMY1TTV
1F04IPF
44Z2N06
NUT5C5A
5Z02
4HG7
4J3E
5ZXF

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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).