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: TBI
File name: alatis_output_compound.sdf

Formula: C10H14N4O5S1
Compound mass: 302.3064000000001
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.50
  • Compound probability: 0.65


List of identified carbohydrate fragments:

  • C8H10N1O3
    Fragment probability: 0.47
    Fragment mass: 140.1165
    Fragment main chain atoms: [6, 2, 3, 11, 8, 9]
    Fragment all atoms: [6, 28, 15, 2, 24, 3, 25, 11, 8, 31, 10, 7, 1, 29, 30, 21, 22, 23, 9, 16, 17, 33]

  • C2H2O1
    Fragment probability: 0.50
    Fragment mass: 70.0698
    Fragment main chain atoms: [6, 2]
    Fragment all atoms: [6, 28, 15, 2, 24]

  • C5H7N2O2
    Fragment probability: 0.46
    Fragment mass: 128.1289
    Fragment main chain atoms: [9, 8, 10, 1]
    Fragment all atoms: [9, 16, 17, 33, 8, 31, 11, 10, 7, 29, 30, 14, 1, 21, 22, 23]

  • C6H8N1O2
    Fragment probability: 0.46
    Fragment mass: 111.09850000000002
    Fragment main chain atoms: [9, 8, 11, 3]
    Fragment all atoms: [9, 16, 17, 33, 8, 31, 10, 7, 1, 29, 30, 21, 22, 23, 11, 3, 25]

  • C3H2N1O2
    Fragment probability: 0.43
    Fragment mass: 114.1222
    Fragment main chain atoms: [9, 8, 10]
    Fragment all atoms: [9, 16, 17, 33, 8, 31, 11, 10]

  • C2H3
    Fragment probability: 0.38
    Fragment mass: 69.1048
    Fragment main chain atoms: [1, 10]
    Fragment all atoms: [1, 21, 22, 23, 10]

  • C4H3N1O2
    Fragment probability: 0.39
    Fragment mass: 140.15939999999998
    Fragment main chain atoms: [3, 11, 8, 10]
    Fragment all atoms: [3, 25, 11, 8, 31, 9, 16, 17, 33, 10]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
TBI1RCJ
TBE6H2I
1TDG
1VM1
4A5R
3ZNT
3NIA
2H10
TF73NIA
TSL2H0Y
6J2B
6H2K
6ITY
2A3U
TAZ1VM1

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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).