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: KQP
File name: alatis_output_compound.sdf

Formula: C20Cl1H23N2O1
Compound mass: 342.8615000000001
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.46
  • Compound probability: 0.29


List of identified carbohydrate fragments:

  • C6H9O1
    Fragment probability: 0.46
    Fragment mass: 54.090199999999996
    Fragment main chain atoms: [1, 19, 2]
    Fragment all atoms: [1, 25, 26, 27, 19, 15, 7, 6, 36, 35, 24, 47, 2, 28, 29, 30]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
KQP6NCO
KJM6NCN
4844G20
6514EA0
4E9Z
3ACW
7FZ5TN4

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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).