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: DNJ
File name: alatis_output_compound.sdf

Formula: C6H13N1O4
Compound mass: 163.17120000000008
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 1.00


List of identified carbohydrate fragments:

  • C6H12N1O4
    Fragment probability: 1.00
    Fragment mass: 163.17120000000006
    Fragment main chain atoms: [4, 6, 5, 3, 7, 1]
    Fragment all atoms: [4, 17, 9, 22, 6, 19, 11, 24, 5, 18, 10, 23, 3, 16, 2, 14, 15, 8, 21, 7, 1, 12, 13]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
DGJ4DO5
4D1J
3S5Y
4FNS
3THD
6EUH
3TV8
4UFM
4CU8
DNJ
DDM
DMJ4AD3
4AD5
4AQ0
1KRE
4D4C
1HXK
1FO2
5MEH
3QRY
1G6I
NOJ2JKE
5NN5
5BX3
1I75
2PWD
5NS8
1DIE
4IID
3VIG
2J77
5WCZ
2X2J
3GXT
1DOG
4HP0
2XG9
6F9J
1OIM
5NGL
2YA2
3QG0
3QFZ
5IEE
4HPI
3GBE
5DKY

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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).