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: 7LS
File name: alatis_output_compound.sdf

Formula: C23H22N4O7
Compound mass: 466.44249999999994
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.35


List of identified carbohydrate fragments:

  • C6H11N1O5
    Fragment probability: 1.00
    Fragment mass: 177.15480000000005
    Fragment main chain atoms: [21, 20, 19, 16, 34, 22, 49, 32, 56, 48, 31, 55, 47, 30, 54]
    Fragment all atoms: [21, 20, 19, 16, 46, 10, 44, 45, 28, 53, 34, 22, 50, 27, 49, 32, 56, 48, 31, 55, 47, 30, 54]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
7LS5MEM
C3B3BD8
CTN3TKA
4NWI
2FR6
5LOK
4LD2
6CVU
5EY3
3P0Z
3T80
3QHD
3P10
5W1C
3W34
5CSO
4JWK
2V34
4LBX
5EFO
4G2X
5TBT
3IVE
4PDA
1UEJ
3W8R
4ZTW
4JS1
AR31P5Z
5Y9A
4LWR
F013ELC

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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).