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: 93J
File name: alatis_output_compound.sdf

Formula: C24Cl1F1H23N5O2
Compound mass: 467.9222000000001
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.43
  • Compound probability: 0.12


List of identified carbohydrate fragments:

  • C3H6N1
    Fragment probability: 0.43
    Fragment mass: 98.14590000000001
    Fragment main chain atoms: [3, 31, 9, 5]
    Fragment all atoms: [3, 40, 41, 42, 31, 9, 49, 50, 5, 45]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
93J5VCW
HKI3W2Q
2JIV
0WM4G5J
1C94I24
4I23
XZN5VCZ
5VC4
4BC6

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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).