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: ETZ
File name: alatis_output_compound.sdf

Formula: C4H10O1
Compound mass: 74.12120000000006
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.50
  • Compound probability: 1.00


List of identified carbohydrate fragments:

  • C4H10O1
    Fragment probability: 0.50
    Fragment mass: 74.1212
    Fragment main chain atoms: [3, 5, 4]
    Fragment all atoms: [3, 12, 13, 1, 6, 7, 8, 5, 4, 14, 15, 2, 9, 10, 11]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
ETZ4HP2
2ME6L0Z
6L3E
5XHK
5WWD
2HV8
ETX5OV9
5A8K
6CJ6
2FD6
4J30
2VZY
5LTE
3E49
2WNZ
1R37
4F3D
6IHD
5OIC
3KNZ
3DT7
2HX5
4J32
2Y2V
4OX2
3BYB
5NUE
3BBY
5OIR
2GNO
5OIM
5A2D
4V3F
2D1G
2R7H
3GBN
5OIL
6HB8
MXE4ZOG
3HBE
5U35
3IWF
3HBD
1PJX
5E67
5E63
5YJA
5YJ2
3TEW
3TEZ
3O4P
2CB8
MOE1KGK
4UC1
3SWI
3R8X

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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).