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: 0ZJ
File name: alatis_output_compound.sdf

Formula: C23Cl1H36N6O4S1
Compound mass: 528.0862999999993
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
0ZJ1NU7
1NU9
0G61ORF
3F6U
4CH8
1XMN
3P6Z
5CMX
6EVV
5JBA
5EW1
2A1D
6PX5
1Z8I
1SFQ
2THF
1HLT
5JB9
1PPB
1TMU
5LUW
3DD2
5E8E
4LZ1
1ABJ
5EW2
3QLP
4LZ4
1THP
3SBK
4DII
1SHH
5TO3
2A45
1A0H
1NRR
1Z8J
5JBC
6EO6
4RKO
4CH2
2PGQ
2OD3
1HAP
1HAO
1DWE
1PFX
1TQ7
6QF7
4I7Y
1FXY
1HAI
5LUY
6EO7
5DO4
6GN7
4DIH
1AUT
4NFF
0Z74YLQ
6R2W
0Z61DAN
1DVA
4Z6A
3ELA
4ZMA
1J9C
1QFK
2YT4Q7Z

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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).