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: M60
File name: alatis_output_compound.sdf

Formula: C32H41N5O11
Compound mass: 671.693199999998
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.61
  • Compound probability: 0.77


List of identified carbohydrate fragments:

  • C16H20N4O6
    Fragment probability: 0.44
    Fragment mass: 325.2536999999999
    Fragment main chain atoms: [19, 48, 32, 34, 23, 29, 35, 28, 31, 36, 37, 18, 27]
    Fragment all atoms: [19, 77, 78, 22, 11, 12, 63, 64, 48, 32, 47, 34, 23, 80, 13, 65, 66, 14, 67, 68, 29, 44, 35, 28, 82, 20, 79, 1, 2, 49, 50, 51, 52, 53, 54, 31, 46, 36, 37, 18, 75, 76, 27, 42, 43, 89]

  • C18H21N5O7
    Fragment probability: 0.43
    Fragment mass: 366.30549999999994
    Fragment main chain atoms: [19, 48, 32, 34, 23, 29, 35, 28, 31, 36, 37, 25, 17, 24, 30]
    Fragment all atoms: [19, 77, 78, 22, 11, 12, 63, 64, 48, 32, 47, 34, 23, 80, 13, 65, 66, 14, 67, 68, 29, 44, 35, 28, 82, 20, 79, 1, 2, 49, 50, 51, 52, 53, 54, 31, 46, 36, 37, 25, 39, 17, 73, 74, 24, 81, 38, 87, 30, 45, 33]

  • C12H17N4O6
    Fragment probability: 0.52
    Fragment mass: 314.2509
    Fragment main chain atoms: [26, 14, 13, 23, 29, 35, 28, 31, 36, 37, 18, 27]
    Fragment all atoms: [26, 41, 40, 88, 14, 67, 68, 13, 65, 66, 23, 80, 34, 29, 44, 35, 28, 82, 20, 79, 1, 2, 49, 50, 51, 52, 53, 54, 31, 46, 36, 37, 18, 75, 76, 27, 42, 43, 89]

  • C14H18N5O7
    Fragment probability: 0.48
    Fragment mass: 355.30269999999996
    Fragment main chain atoms: [26, 14, 13, 23, 29, 35, 28, 31, 36, 37, 25, 17, 24, 30]
    Fragment all atoms: [26, 41, 40, 88, 14, 67, 68, 13, 65, 66, 23, 80, 34, 29, 44, 35, 28, 82, 20, 79, 1, 2, 49, 50, 51, 52, 53, 54, 31, 46, 36, 37, 25, 39, 17, 73, 74, 24, 81, 38, 87, 30, 45, 33]

  • C7H11N3O3
    Fragment probability: 0.50
    Fragment mass: 215.20600000000005
    Fragment main chain atoms: [27, 18, 37, 36, 31, 28, 20, 1]
    Fragment all atoms: [27, 42, 43, 89, 18, 75, 76, 37, 36, 31, 46, 28, 82, 35, 20, 79, 2, 52, 53, 54, 1, 49, 50, 51]

  • C6H7N2O5
    Fragment probability: 0.61
    Fragment mass: 188.13780000000006
    Fragment main chain atoms: [27, 18, 37, 25, 17, 24, 30]
    Fragment all atoms: [27, 42, 43, 89, 18, 75, 76, 37, 25, 39, 17, 73, 74, 24, 81, 38, 87, 30, 45, 33]

  • C9H12N4O4
    Fragment probability: 0.45
    Fragment mass: 256.25780000000003
    Fragment main chain atoms: [1, 20, 28, 31, 36, 37, 25, 17, 24, 30]
    Fragment all atoms: [1, 49, 50, 51, 20, 79, 2, 52, 53, 54, 28, 82, 35, 31, 46, 36, 37, 25, 39, 17, 73, 74, 24, 81, 38, 87, 30, 45, 33]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
M602CNO
AZ03GCD
AZP2A5K
2GTB
2A5I
AZL1AE8
3TL4TVH
3KFS
3KFR
3KF0
1B11
4K4Q
2AZC
2AZB
2AZ8
5VCK
5FIV
6FIV
2P3A
3TLH
5W5W
3KFN
2P3C
2AZ9
3SLZ
4K4P
4K4R
2P3D
2P3B
3KFP
5VEA
2HAH

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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).