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: WLU
File name: alatis_output_compound.sdf

Formula: C7H15N1O3
Compound mass: 161.1983000000001
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.65
  • Compound probability: 0.91


List of identified carbohydrate fragments:

  • C6H11N1O3
    Fragment probability: 0.65
    Fragment mass: 146.1639
    Fragment main chain atoms: [4, 5, 3, 6, 7]
    Fragment all atoms: [4, 20, 21, 9, 25, 5, 22, 1, 12, 13, 14, 3, 18, 19, 6, 23, 8, 7, 11, 10, 26]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
F7S6CN8
WLU3WDE
3WDC
3WDD
5CS2
EME4E82
IML5LF0
3HJD
5OVT
5N0X
1G65
5N4I
1CWM
5N0Q
5OUF
6MJG
MLU1GAC
1QD8
1HH3
1GO6
1AA5
1HHU
1PNV
6PTH
6PTV
1HHZ
5M2H
5AH2
1GHG
1HHA
1FVM
1HHC
6PTR
6P81
5AGV
6DJ8
1SHO
5AGU
6DJK
1HHY
1C0Q
1HHF
6DLY
1PN3
1C0R
1RRV
5AH4
6DM6
5M2K
3RUN

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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).