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: H1M
File name: alatis_output_compound.sdf

Formula: C9H18O6
Compound mass: 222.23490000000015
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.87


List of identified carbohydrate fragments:

  • C8H14O5
    Fragment probability: 1.00
    Fragment mass: 176.16670000000005
    Fragment main chain atoms: [5, 7, 8, 6, 15, 9, 27, 12, 32, 28, 13, 33]
    Fragment all atoms: [5, 25, 2, 19, 20, 3, 21, 22, 7, 8, 6, 26, 4, 23, 24, 11, 31, 15, 9, 29, 14, 27, 12, 32, 28, 13, 33]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
H1M3D4K
A1Q4AOC
6LS5L4T
2M53OAZ
B7G5U3X
5U43
5U3W
5U45
1Y0S
5U3V
6A6P
5U41
5U44
2BAW
5U3S
2ZNQ
5U46
5U3Y
3GZ9
5U42
5U3T
5U3U
5U40
5U3Z
5U3R
2B50
2ZNP
2AWH
1QPF
5U3Q

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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).