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: FUR
File name: alatis_output_compound.sdf

Formula: C8H5N3O5
Compound mass: 223.14220000000006
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.28
  • Compound probability: 0.38


List of identified carbohydrate fragments:

  • C4H3N1O1
    Fragment probability: 0.28
    Fragment mass: 96.0641
    Fragment main chain atoms: [5, 6, 16]
    Fragment all atoms: [5, 21, 9, 6, 1, 17, 2, 18, 16]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
FUR1OAY
NFZ1YKI
3R6W
4XA5BX1
2W94PRR
9513KVM

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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).