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: DXF
File name: alatis_output_compound.sdf

Formula: C16H18N4O8S1
Compound mass: 426.4003999999999
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.50
  • Compound probability: 0.55


List of identified carbohydrate fragments:

  • C5H2N2O2
    Fragment probability: 0.25
    Fragment mass: 110.06750000000001
    Fragment main chain atoms: [12, 10, 27]
    Fragment all atoms: [12, 13, 22, 18, 20, 10, 3, 34, 2, 33, 27]

  • C8H7N3O4
    Fragment probability: 0.39
    Fragment mass: 198.15580000000003
    Fragment main chain atoms: [5, 9, 18, 13, 12, 20, 26, 1]
    Fragment all atoms: [5, 36, 21, 9, 41, 14, 42, 19, 18, 13, 22, 12, 10, 3, 34, 27, 20, 26, 1, 30, 31, 32]

  • C5H3N2O2
    Fragment probability: 0.29
    Fragment mass: 153.11530000000002
    Fragment main chain atoms: [5, 9, 18, 13, 12]
    Fragment all atoms: [5, 36, 21, 9, 41, 14, 42, 19, 18, 13, 22, 12]

  • C4H3N2O2
    Fragment probability: 0.35
    Fragment mass: 123.1125
    Fragment main chain atoms: [5, 9, 18, 13]
    Fragment all atoms: [5, 36, 21, 9, 41, 14, 42, 19, 18, 13, 22]

  • C2H3N1O1
    Fragment probability: 0.50
    Fragment mass: 97.072
    Fragment main chain atoms: [1, 26, 20, 12]
    Fragment all atoms: [1, 30, 31, 32, 26, 20, 12]

  • C5H4N2O3
    Fragment probability: 0.42
    Fragment mass: 113.0714
    Fragment main chain atoms: [1, 26, 20, 12, 13]
    Fragment all atoms: [1, 30, 31, 32, 26, 20, 12, 10, 3, 34, 27, 13, 22, 18]

  • C2N1O1
    Fragment probability: 0.20
    Fragment mass: 68.0309
    Fragment main chain atoms: [12, 13]
    Fragment all atoms: [12, 13, 22, 18]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
DXF3NBL
3ZG9
KOV4KOV
CES5ZQE
1QMF
9EP3NDE
1QL3MZE

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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).