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

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Process a structure file

Publication files:

Formula: C₈H₁₅N₃O₅S₁
Compound mass: 265.2862000000001
Compound with ALATIS labels (download):

Download outputs in JSON format here.

Probabilities of the best carbohydrate fragment:

List of identified carbohydrate fragments:

Most similar ligands:

Ligand Expo ID	PDB protein complex ID
5CS	2W7T 1OX5
CYG	1A9X 1CS0 4WXY 3R75 3R76 4LGY 4L78 3UJN 3D54 4MGH 4R7G 1T3T 3UMM
143	1KEE 1JVN
8JB	5N29
P1L	5EMV 2CFH 5EMW 6L9F 2J3R 2J3W 2C0J 2J3T

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

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.

For any question or concern please contact Hesam Dashti (hdashti@bwh.harvard.edu).