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: AZQ
File name: alatis_output_compound.sdf

Formula: C16H20N4O2
Compound mass: 300.3548
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.20
  • Compound probability: 0.14


List of identified carbohydrate fragments:

  • C2H6N1
    Fragment probability: 0.20
    Fragment mass: 98.1063
    Fragment main chain atoms: [3, 18, 4]
    Fragment all atoms: [3, 29, 30, 31, 18, 4, 32, 33, 34]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
AZQ2BX8
2BXI
2BXK
P1Z2W98
2BXP
2BXC
2BXQ
OPB1Q7A
2BXO
2BXB
ENZ6G5W
70Y4XX4

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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).