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: 3GC
File name: alatis_output_compound.sdf

Formula: C8H14N2O5S1
Compound mass: 250.27160000000012
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.56
  • Compound probability: 0.94


List of identified carbohydrate fragments:

  • C8H10N2O5
    Fragment probability: 0.56
    Fragment mass: 217.19870000000003
    Fragment main chain atoms: [7, 4, 1, 2, 6, 10, 5, 8]
    Fragment all atoms: [7, 12, 13, 28, 4, 23, 9, 1, 17, 18, 2, 19, 20, 6, 11, 10, 5, 24, 3, 21, 22, 8, 14, 15, 29]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
3GC2BU3
3KAK
5OES
1M0W
4X8D
9R75VX0
9R45VWX
GSW3KM6
3HJO
2X99
2BRQ
2XPY
3CSI
1OYJ
3DWW
2WJU
2F8F
3FR9
2VCV
1XA8
2ON5
3KXO
1U3I
3D5J
3G7I
3CSH
2CAQ
3F3R
1GNE
2WCI
1FHE
1M0U
2NTO
1U87
2CA8
3LEO
2H8A
0P01AQW

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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).