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: PI
File name: alatis_output_compound.sdf

Formula: H1O4P1
Compound mass: 95.97930000000001
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 0.00
  • Compound probability: 0.00


List of identified carbohydrate fragments:



Most similar ligands:

Ligand Expo IDPDB protein complex ID
PO34RCV
1O2F
2WY2
2LRL
3ISS
1NUW
3EZE
5LQ5
4BUC
3W81
3W82
1V0T
2CGL
5UC6
1V0U
3BB0
1SUM
1VRC
4HE2
2SKE
3GP3
3WD1
1ZED
1GGR
1O5X
3ZW7
1V0W
1E1Y
1J6T
2MP0
2FKK
4Z2I
1V0V
1NUX
6HR0
IPS
PI5NB4
1NV6
5LRR
4FX7
3Q3Y
4EVZ
1JUY
4F1V
2OKN
4P7F
1NV2
3ETJ
3TIF
4F1U
4LZ3
PHS4D4J
5AK0
4NP1
1FLO
5AJY
5AJX
4D4M
4D4L
3QPV
4D4K
1NXP
5AJW
1WKL
5AJZ
2I1V
2PO6OC9
5JVB
5O2J
2EBF
1P4E
2INU
2INV

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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).