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: E9E
File name: alatis_output_compound.sdf

Formula: C4H11O3P1
Compound mass: 138.10170000000005
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.67
  • Compound probability: 0.75


List of identified carbohydrate fragments:

  • C3H8O2
    Fragment probability: 0.67
    Fragment mass: 122.1023
    Fragment main chain atoms: [4, 7, 8, 6, 2]
    Fragment all atoms: [4, 18, 19, 1, 9, 10, 11, 7, 8, 6, 2, 12, 13, 14]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
E9E6FWE
E8W6FVK
6FW1
DII1EZ2
1P6C
VX6CQY
6G0M
1VXR
5HQ3
2XQF
2XQK
6O5S
6CQZ
6CQV
6G3M
6CQT
6CQX
6CQW
2XMG
2XQJ
DEP1XLW
1GCD
4P85
2O7V
3DD5
3D5E
3A70
5HFA
5HF9
5ADO
3AIL
5HF8
1DQY
1ESE
5HF5
2XLC
3E1G
3DOI
3DT6
4TGL
2XMD
4GXN
2CUT

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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).