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: PHQ
File name: alatis_output_compound.sdf

Formula: C8Cl1H7O2
Compound mass: 170.59270000000006
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
PHQ4DM9
2KID
3VB5
5B6G
1JXQ
1QDU
3S3J
5XA3
1F9E
4INH
2H51
2XDW
2MX6
5FGH
4AWB
4HVA
1TG1
2H48
2H4Y
4P9V
5D63
2F4O
1KJO
5YYF
3QNW
5YZD
3S3S
5XHS
4LFD
2C2M
2CNL
3D6F
5D62
1DLK
2H4W
5D61
2CNN
2C2Z
2C2O
1SQZ
2G58
2C1E
1KJP
2HBZ
3D6M
5IZ6
3V4L
2CNK
4IMQ
4IMZ
2CDR
1KKK
2H54
3S3P
2C2K
2HBR
5Z8H
1KR6
2HBQ
1KS7
2HBY
5PAD
1KTO
1KRO
3D6H
3V4O
3G8F
2CJY
1GEC
5LF6
1KL6
BZO
CBZ
J0Z3HUK
BGG2XDW

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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).