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: 8UD
File name: alatis_output_compound.sdf

Formula: C7H9N3O1
Compound mass: 151.16550000000004
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.50
  • Compound probability: 0.36


List of identified carbohydrate fragments:

  • C2H3N1O1
    Fragment probability: 0.50
    Fragment mass: 54.0704
    Fragment main chain atoms: [1, 9, 7]
    Fragment all atoms: [1, 12, 13, 14, 9, 7, 11]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
8UD5PP0
4FG4YPX
8RM5POM
NCA4A3U
6IN7
2HJH
1ISM
3ROZ
3ZJQ
1YC2
3O94
2E5D
4AE1
5CF9
2ZB7
1R15
5NY7
3DZG
3UPW
1ISI
4HYF
2R6V
2Z77
3U9H
3ROP
1YC5
5VW4
4RMJ
5V4V
5YSI
5WQP
1DMA
2QQG
5Z3J
2R9J
2QHF
3NN0
2OTV
5J6H
5N3H
2OD9
3I9J
5VW9
2C8A
4YP2
5VW5
3ROD
5M10
2A15
2H4J
0ON4EH6

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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).