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: B3A
File name: alatis_output_compound.sdf

Formula: C4H9N1O2
Compound mass: 103.11940000000006
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.61
  • Compound probability: 1.00


List of identified carbohydrate fragments:

  • C4H7N1O2
    Fragment probability: 0.61
    Fragment mass: 103.1194
    Fragment main chain atoms: [4, 2, 3, 1]
    Fragment all atoms: [4, 6, 7, 16, 2, 11, 12, 3, 13, 5, 1, 8, 9, 10]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
B3A4BPI
4OZA
5HG2
3O42
4KGR
3HEZ
2YJ1
2OXJ
6G8Q
4BPK
4BPJ
6G8J
2OXK
4A1U
ASJ3EDR
4YA9
4Y78
2H5I
4ZVR
4ZVT
2QL9
4ZVU
4Y69
2H5J
4ZVS
4HQR
1PAU
3RJM
2QLF
4Y8U
4Y6A
2QLB
2H65
4DCP
3H1P
3P4U
4DCO
4ZVO
4DCJ
2QLJ
1IAU
3GJS
2QL7
1QTN
ASP_LL
B3S1J8N
2OXJ
2OXK
5VTK
ASP_LSN3

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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).