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: PC4
File name: alatis_output_compound.sdf

Formula: Cl4Pt1
Compound mass: 336.89
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
PCL1QJ8
PC42FYF
4HGA
CPT5F9U
3M9N
4DDC
4G49
5I0A
4MWM
3LPV
3M9O
5FCP
4DD4
2NQ0
4MWN
4DL4
4ZEE
4GCE
2AEO
4MWK
2WTF
4OT4
3IWX
2R8J
1DDP
4N11
4RSZ
4DDB
4G4A
5L4R
2R8K
5N26
1DA5
4N10
6BS1
1DA4
3RE0
4S1Y
4RTE
5F9X
4G4B
4YEO
4DL6
4GCD
3TXF
4DL5
4GCC
4GCB
2I6Z
4DD6
3M9M
6BRX
3TXK
4TUS
1AIO
3O62
5ERJ
5A39
3TXG
4DL7
4EEY
1I1P
4Z46
4N0Z
1AU5
2NPW
1A2E
4TUR
1A84
1KSB
2R7Z
1CKT
NCP2AEO
I834QH3
4QGZ

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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).