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: T64
File name: alatis_output_compound.sdf

Formula: C20H28N4O15P2
Compound mass: 626.4005999999982
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.22


List of identified carbohydrate fragments:

  • C5H7N1O3
    Fragment probability: 1.00
    Fragment mass: 129.11370000000002
    Fragment main chain atoms: [4, 14, 38, 12, 10]
    Fragment all atoms: [4, 50, 51, 14, 62, 24, 38, 12, 60, 7, 55, 56, 35, 10, 58, 39]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
T646R93
4YM6
4YM5
6R8Y
6CFI
YG1JGO
4TRA
4V42
3FIC
1FCW
4V5G
3DEG
1TN2
1OB5
1TN1
1SZ1
1MJ1
4TNA
1JGP
1JGQ
6TNA
1TRA
2WRQ
4V68
1I9V
2WRN
1EVV
1GIX
1OB2
5L3P
1ML5
YYG3JYV
486D
4V7H
2B9O
2Z9Q
1EHZ
1TTT
2B9M
4V4R
5M1J
4V4S
4V4T
2B64
0TT4FHD
4FHF
4RH1
THX1AUL

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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).