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: YLL
File name: alatis_output_compound.sdf

Formula: C7H14O6
Compound mass: 194.1819000000001
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:

  • C7H14O6
    Fragment probability: 1.00
    Fragment mass: 194.18190000000007
    Fragment main chain atoms: [4, 6, 7, 5, 3, 2]
    Fragment all atoms: [4, 18, 10, 24, 6, 20, 12, 26, 7, 21, 13, 27, 5, 19, 11, 25, 3, 17, 9, 23, 2, 16, 1, 14, 15, 8, 22]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
M966FWO
6FWM
YLL2JAL
CBU4MJL
2VT0
3V1H
INS2OS9
4YO7
3V16
3NTR
4RU1
1PTG
4XF7
5YSP
4RXM
5YA8
6B5Z
4IRX
3NT4
4RV3
5FYR
3V1H
2R71
6S2A
1IEV
1Y7V
4XF6
5YSQ
4I9T
4F2B
4S3G
3BXD
2X1I
2HUO
1G0I
4MIY
4WRE
1AOD
4MIO
3EA2
4WUW
HQ86Q8N

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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).