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: LPX
File name: alatis_output_compound.sdf

Formula: C21H44N1O7P1
Compound mass: 453.5486
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.50


List of identified carbohydrate fragments:

  • C5H10N1O4
    Fragment probability: 0.82
    Fragment mass: 214.13310000000004
    Fragment main chain atoms: [17, 28, 30, 29, 19, 20, 18]
    Fragment all atoms: [17, 64, 65, 16, 62, 63, 22, 28, 30, 29, 19, 68, 69, 20, 70, 23, 73, 18, 66, 67, 27]

  • C3H6N1O2
    Fragment probability: 0.71
    Fragment mass: 184.1072
    Fragment main chain atoms: [17, 28, 30, 29, 19]
    Fragment all atoms: [17, 64, 65, 16, 62, 63, 22, 28, 30, 29, 19, 68, 69]

  • C8H14N1O5
    Fragment probability: 0.71
    Fragment mass: 240.17030000000005
    Fragment main chain atoms: [17, 28, 30, 29, 19, 20, 18, 27, 21]
    Fragment all atoms: [17, 64, 65, 16, 62, 63, 22, 28, 30, 29, 19, 68, 69, 20, 70, 23, 73, 18, 66, 67, 27, 21, 15, 60, 61, 14, 58, 59, 24]

  • C3H6O3
    Fragment probability: 1.00
    Fragment mass: 90.0777
    Fragment main chain atoms: [18, 20, 19]
    Fragment all atoms: [18, 66, 67, 27, 20, 70, 23, 73, 19, 68, 69, 29]

  • C4H6O2
    Fragment probability: 0.62
    Fragment mass: 86.089
    Fragment main chain atoms: [18, 27, 21]
    Fragment all atoms: [18, 66, 67, 27, 21, 15, 60, 61, 14, 58, 59, 24]

  • C6H10O4
    Fragment probability: 0.75
    Fragment mass: 116.11489999999999
    Fragment main chain atoms: [19, 20, 18, 27, 21]
    Fragment all atoms: [19, 68, 69, 29, 20, 70, 23, 73, 18, 66, 67, 27, 21, 15, 60, 61, 14, 58, 59, 24]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
LPX3CX9
LP32RKN
2AG4
2AG2
LAP1MID
QEH
LPC1BWO
6KE5

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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).