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: IU
File name: alatis_output_compound.sdf

Formula: C9H12I1N2O9P1
Compound mass: 450.0773999999999
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.45


List of identified carbohydrate fragments:

  • C5H8N1O4
    Fragment probability: 1.00
    Fragment mass: 146.121
    Fragment main chain atoms: [6, 5, 4, 21, 8]
    Fragment all atoms: [6, 28, 14, 32, 5, 27, 13, 31, 4, 26, 2, 24, 25, 20, 21, 8, 29, 12]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
0AU
IU1M5K
5ZRF
5BJO
464D
1YVP
5ZQF
5UZA
5KM4
2H0S
5IT
5IU2H1O
6K3J
1K4S
454D
1P59
3K70
2IRF
2Q2K
1SRS
4M8O
3HOT
1A31
1ZME
4GS2
4GRE
1A6Y
2RAM
1LEI
5A3D
5L2X
1K61
1CKT
3BSU
1AIS
2BSQ
2QCH
1JJ8
1GA5
1NH2
1JJ6
1OMK
3VTK
2NLL
1BF4
U25

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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).