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: N4P
File name: alatis_output_compound.sdf

Formula: C10H26N4
Compound mass: 202.33920000000015
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
SPD6HIY
1BO4
5J5B
3C6K
5HKV
2QBY
4WFB
4WFA
6I7V
3BXZ
3LS3
5IT8
4WF9
5J7L
6HIV
2HMP
5J91
3TTN
4MHD
4CXM
3WR7
1POY
1TYP
4OGE
5JC9
5HL7
3L1R
3A76
5XDO
3LSA
5J88
4C0Z
4WCE
6HIZ
4FBL
6HIW
3GK7
6B01
4YBB
2PWP
4JDF
5J8A
1U8D
2P1E
3ICE
4OGC
2O07
6DY5
5FOI
6BU5
1I2X
5NRG
2P18
1POT
5JVG
3CN8
6SGC
5XNH
4QF8
293D
4LRO
6BQ7
2YGP
2ELG
6QMM
SPJ3BNM
SR06BST
B5L6J26
N4P5XNC
6J28
6J27

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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).