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: TIR
File name: alatis_output_compound.sdf

Formula: C22H29N1O6
Compound mass: 403.46759999999995
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.38
  • Compound probability: 0.34


List of identified carbohydrate fragments:

  • C6H7O1
    Fragment probability: 0.38
    Fragment mass: 62.0693
    Fragment main chain atoms: [6, 7, 15]
    Fragment all atoms: [6, 45, 11, 1, 8, 30, 31, 32, 47, 7, 46, 15, 24, 57]

  • C5H6
    Fragment probability: 0.30
    Fragment mass: 66.1009
    Fragment main chain atoms: [8, 11]
    Fragment all atoms: [8, 47, 12, 51, 2, 19, 33, 34, 35, 54, 11]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
TIR2Y3R
2Y3S
2Y4G
TRK2Y3R
MYV2Y5N
4AW3
MVI3SSN
4X81
4X7W
ZM32Y5Z
4X7Z
4X7U
2YCA

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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).