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: SLU
File name: alatis_output_compound.sdf

Formula: C21H18N8O8S3
Compound mass: 606.610699999999
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:

  • C5H8N1O4
    Fragment probability: 1.00
    Fragment mass: 146.121
    Fragment main chain atoms: [14, 15, 21, 37, 11]
    Fragment all atoms: [14, 50, 31, 57, 15, 51, 32, 58, 21, 52, 29, 37, 11, 49, 4, 44, 45, 36]

  • C2H2N1O2
    Fragment probability: 0.76
    Fragment mass: 176.15039999999996
    Fragment main chain atoms: [4, 36, 40, 28, 18]
    Fragment all atoms: [4, 44, 45, 36, 40, 28, 18, 33]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
SLU5KYV
5KYT
6Q2M
4G37
2D1T
4G36
2D1S
B1U6IYK
HP83O82
6495HM3
5ICR
7RM5U29

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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).