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: LW2
File name: alatis_output_compound.sdf

Formula: C8H10O3S1
Compound mass: 186.22780000000006
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.75
  • Compound probability: 0.75


List of identified carbohydrate fragments:

  • C3H5O2
    Fragment probability: 0.75
    Fragment mass: 86.08900000000001
    Fragment main chain atoms: [1, 5, 7]
    Fragment all atoms: [1, 13, 14, 15, 5, 9, 7, 19, 10, 21]

  • C6H8O3
    Fragment probability: 0.58
    Fragment mass: 98.09970000000001
    Fragment main chain atoms: [1, 5, 7, 8]
    Fragment all atoms: [1, 13, 14, 15, 5, 9, 7, 19, 10, 21, 8, 20, 6, 3, 17, 11, 22]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
LW25ZOL
4TB2AY8
TTF1ZP0
6MYP
0OB4E9D
TIH1EOJ
1BDK
4TRW
4TRZ
1MMK
5LHT
4TRY
4OZ6
1KW0

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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).