Logo Cheminformatics Tool for Probabilistic Identification of Carbohydrates
(CTPIC)
v 1.1 (Spring 2020)

Home
Process a structure file

Publication files:

Submission ID: MMP
File name: alatis_output_compound.sdf

Formula: C35H40N4O4
Compound mass: 580.7148999999978
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
MMP4G0F
1N7M
1NGW
3FCT
1C1H
4FXM
DE94XKB
UP33D8N
PP92HRE
2QD1
5DUO
6G71
5E9Z
4KLA
2QD5
1Z53
1HRS
4UC1
2Y4E
PHO5E79
3JCU
6KAD
4TNJ
4YUU
3ARC
4PJ0
5ZZN
6JLL
1FE1
4V82
4TNI
6KAF
6DHO
4IXR
3WU2
5MX2
5E7C
5XNL
5KAI
6J40
4FBY
5TIS
3PRQ
4PBU
6JLM
5KAF
6J3Z
5V2C
6JLU
6DHE
6DHF
1S5L
4TNK
6JLJ
3A0H
6DHG
4IXQ
5WS6
4UB6
1IZL
5WS5
3BZ2
6DHH
4RVY
2AXT
6JLN
6J3Y
4V62
5MDX
5B5E
1W5C
5XNM
5GTI
5H2F
6JLK
6KAC
4UB8
5B66
6JLO
3BZ1
1ILX
3A0B
6JLP
3KZI
4Q54
6DHP
4IL6
5GTH
4TNH
3PRR

Flag Counter

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).