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: 073
File name: alatis_output_compound.sdf

Formula: C32F2H28N3O5P1
Compound mass: 603.5512999999984
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.97
  • Compound probability: 0.09


List of identified carbohydrate fragments:

  • C2H3O2
    Fragment probability: 0.97
    Fragment mass: 55.0552
    Fragment main chain atoms: [30, 42, 1]
    Fragment all atoms: [30, 38, 42, 1, 44, 45, 46]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
0732FJM
2FJN
3351Q6J
P271Q6M
2131Q6P
2141Q6S

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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).