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: 2AM
File name: alatis_output_compound.sdf

Formula: C10H14N5O7P1
Compound mass: 347.2207
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.43


List of identified carbohydrate fragments:

  • C5H8N1O4
    Fragment probability: 1.00
    Fragment mass: 146.121
    Fragment main chain atoms: [6, 7, 10, 21, 4]
    Fragment all atoms: [6, 29, 17, 35, 7, 30, 22, 10, 31, 15, 21, 4, 28, 1, 24, 25, 16, 34]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
2AM5LDM
4YAF
4YAO
6RNT
7RNT
1PGQ
4YAU
5URI
4YAW
2YQ9
4WCC
5DW8
4WFR
4WDA
4QAK
3AHW
4WDB
2YDD
4YAL
1RGK
3OCX
A2P3JQP
4PEH
1O0O
2IYP
3JQQ
2OK7
1FND
4AJC
1FNC
4WDF
2GZ2
1H1H
4AJS
2VNI
4R3W
4WDG
3PWS
5JH2
1HI3
4YE2
6O0W
25A4G8L
1WDY
3PWK
A2L1XV6
0A4WB3
4R8I
4WB2

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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).