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: 1FC
File name: alatis_output_compound.sdf

Formula: C10F1H13N3O9P1
Compound mass: 369.1966
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.38


List of identified carbohydrate fragments:

  • C5H7N1O3
    Fragment probability: 1.00
    Fragment mass: 129.1137
    Fragment main chain atoms: [5, 6, 4, 23, 8]
    Fragment all atoms: [5, 29, 6, 30, 15, 34, 4, 28, 2, 26, 27, 22, 23, 8, 31, 14]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
1FC3UOB
6U17
6U15
XFC5T2W
1CC5ZAT
6OD5
4R2R
6N2S
5KL7
4Y52
5EXH
5EYO
5KL5
6U16
4PWM
6N2R
4M9V
4Y7N
3UO7
5FC4QKK
1VE8
5ZAS
4R2D
5MVU
6GCE
4R2Q
4QC7
5Z3N
5YTD
5D9Y
5KL4
5HC5CJY
4R2C
4HLI
5DSB
3VYB
4PW5
4PBA
4R2P
4PAR
4C5X
6GCD
4GLC
6JV3
6T22
4PW6
5DEU
4I9V
5CH0
6N2T
4GLH
5CG8
4YGI

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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).