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: 4SJ
File name: alatis_output_compound.sdf

Formula: C12H17N1O2
Compound mass: 207.26820000000012
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.50
  • Compound probability: 0.67


List of identified carbohydrate fragments:

  • C7H11N1O2
    Fragment probability: 0.50
    Fragment mass: 100.09570000000001
    Fragment main chain atoms: [11, 10, 13, 3]
    Fragment all atoms: [11, 15, 14, 32, 10, 30, 12, 1, 2, 9, 16, 17, 18, 19, 20, 21, 13, 3, 22, 23, 24]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
4SJ
ZAE4DVF
6ANN
4FGX
6PSL
3UQR
3UQP
4DV9
MEA3ZS2
2HIL
4NW9
5W4I
1H0I
5WDA
6DR5
3JC8
5W4J
4NW8
3CHF
3JC9
2HI2
5W4H
5SUS
3ZQR
6NNV
5SUR
5VF1
6DDE
3CHE
5O45
6DR4
2PIL
2WEV
1W9V
1YIT
4MEX
1WB0
6DDF
PHE
PHE_LFZW

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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).