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: SNM
File name: alatis_output_compound.sdf

Formula: C5H11N1O3
Compound mass: 133.14530000000005
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.84
  • Compound probability: 0.78


List of identified carbohydrate fragments:

  • C3H5N1O3
    Fragment probability: 0.84
    Fragment mass: 103.0765
    Fragment main chain atoms: [3, 4, 5]
    Fragment all atoms: [3, 16, 17, 7, 19, 4, 18, 6, 5, 9, 8, 20]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
DSE5CGO
1T7D
3S04
3IIQ
1CWH
SNM6GL5
6F7X
6F7W
6F7Y
5JP6DUB
5E2A
3WS
MAA3MT6
4P4Y
5DKP
5O4Y
5US3
5HPP
4P4V
1D5X
5LRJ
2WRX
1PYW
5LRK
3KTI
4WC8
5LRG
3AH8
4WVS
1A7Z
4WVT
4X0S
4I5N
4I5L
2WS0
4WVU
3UW5
4CY7
1CWI
2BDX
3UW4
4DZG
4CXN
2VSL

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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).