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: 2F8
File name: alatis_output_compound.sdf

Formula: C9H17N1O6
Compound mass: 235.23370000000014
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.94


List of identified carbohydrate fragments:

  • C8H14N1O6
    Fragment probability: 1.00
    Fragment mass: 220.19930000000002
    Fragment main chain atoms: [8, 7, 5, 16, 9, 6, 4, 30, 1, 10, 12, 14, 28, 33, 13, 27, 32]
    Fragment all atoms: [8, 7, 5, 25, 3, 23, 24, 11, 31, 16, 9, 29, 15, 6, 26, 4, 30, 1, 17, 18, 19, 10, 12, 14, 28, 33, 13, 27, 32]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
1NA
MAG4BXD
1G1R
4Y1U
2LIQ
4J2S
4CSY
1M7D
4Y1V
1UZ8
1LED
1ZPL
3KMB
1G1T
6FCS
6FCU
1GSL
2KMB
1FWU
1FWV
4KMB
4Y22
2F84N36
5I8O
4N32
4N34
MGC2DU1
1UH0
1UGX
1UH1
5A56
2DVA
3YW4X7R

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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).