Logo Cheminformatics Tool for Probabilistic Identification of Carbohydrates
(CTPIC)
v 1.1 (Spring 2020)

Home
Process a structure file

Publication files:

Submission ID: ZXW
File name: alatis_output_compound.sdf

Formula: C15H24N7O14P3S1
Compound mass: 651.3749999999984
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.25


List of identified carbohydrate fragments:

  • C5H8N1O4
    Fragment probability: 1.00
    Fragment mass: 146.121
    Fragment main chain atoms: [11, 12, 15, 34, 8]
    Fragment all atoms: [11, 52, 25, 60, 12, 53, 26, 61, 15, 54, 22, 34, 8, 51, 3, 44, 45, 33]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
ZXW6C0I
6BUU
6NPZ
1122GS6
2G2F
2G1T
1RQQ
1GAG
ATG1XXH
3HU2
1BIF
3EUK
1W1W
3HU1
1NJF
1K6M
4DN5
1SXJ
3C4J
3EUJ
3MWY
3HU3
2G2F
3EIH
1NLY
COD6CY3
3UF6
4R1W
6CXX
2GRJ
6KKW
5O08
6A75
6A6D
3S89
5TS2
5D4E
6A7D
5ZZC
4R1X
3RBA
3PXU
1B6T
T995OYH

Flag Counter

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).