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: H4Z
File name: alatis_output_compound.sdf

Formula: C31H45N6O17P1
Compound mass: 804.690999999998
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.55


List of identified carbohydrate fragments:

  • C5H8O5
    Fragment probability: 1.00
    Fragment mass: 148.11370000000002
    Fragment main chain atoms: [26, 25, 20, 53, 30]
    Fragment all atoms: [26, 86, 45, 98, 25, 85, 44, 97, 20, 82, 11, 74, 75, 52, 53, 30, 87, 51]

  • C6H10O4
    Fragment probability: 0.75
    Fragment mass: 117.12280000000001
    Fragment main chain atoms: [10, 18, 24, 17]
    Fragment all atoms: [10, 72, 73, 51, 18, 80, 40, 94, 24, 84, 43, 96, 17, 79, 9, 70, 71, 15, 39, 93]

  • C3H6O3
    Fragment probability: 1.00
    Fragment mass: 103.09630000000001
    Fragment main chain atoms: [10, 18, 24]
    Fragment all atoms: [10, 72, 73, 51, 18, 80, 40, 94, 24, 84, 43, 96]

  • C5H8O4
    Fragment probability: 0.80
    Fragment mass: 211.0863
    Fragment main chain atoms: [11, 52, 55, 54, 19, 29]
    Fragment all atoms: [11, 74, 75, 52, 55, 54, 19, 81, 7, 66, 67, 8, 68, 69, 29, 47, 48, 99]

  • C5H7O5
    Fragment probability: 0.97
    Fragment mass: 147.10580000000002
    Fragment main chain atoms: [21, 8, 7, 19, 29]
    Fragment all atoms: [21, 42, 41, 95, 8, 68, 69, 7, 66, 67, 19, 81, 54, 29, 47, 48, 99]

  • C6H10O3
    Fragment probability: 0.67
    Fragment mass: 70.0896
    Fragment main chain atoms: [17, 24]
    Fragment all atoms: [17, 79, 9, 70, 71, 15, 39, 93, 24, 84, 18, 80, 10, 72, 73, 40, 94, 43, 96]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
F4M4GVS
H4Z2FHJ
N4M4GVQ
H4M4YT5
3IQE
1Y60
3IQZ
3H65
E4M3IQF
6HAV
6HAE
6HUX

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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).