Logo Cheminformatics Tool for Probabilistic Identification of Carbohydrates
(CTPIC)
v 1.1 (Spring 2020)

Home
Process a structure file

Publication files:

Submission ID: DK3
File name: alatis_output_compound.sdf

Formula: C13H26O3
Compound mass: 230.34270000000018
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.62
  • Compound probability: 0.38


List of identified carbohydrate fragments:

  • C4H6O2
    Fragment probability: 0.62
    Fragment mass: 57.071
    Fragment main chain atoms: [13, 16, 2]
    Fragment all atoms: [13, 11, 39, 40, 12, 41, 15, 16, 2, 20, 21, 22]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
DK33STU
NON1CLZ
1CLY
56S5D1R
FGM3U8F
KKJ3T2V

Flag Counter

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).