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: 09V
File name: alatis_output_compound.sdf

Formula: C4H8O1
Compound mass: 72.10540000000005
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.00
  • Compound probability: 0.00


List of identified carbohydrate fragments:



Most similar ligands:

Ligand Expo IDPDB protein complex ID
09V3UGL
33D3ZVW
2Y5O
1BO3S3E
3S3H
1OKX
1OOH
5EL1
3ET2
1YKY
1G4H
3S3F
3B6X
2VDG
5EMU
5MED
5Z3S
2HUU
2HUF
IP31HRN
9D25NX6
5NX7

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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).