Glycomimetic Focused Library
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Glycomimetic Focused Library

Glycomimetic Focused LibrarySeveral glycoprocessing enzymes and glycoreceptors have been recognized as important targets for therapeutic intervention. This concept has inspired the development of important classes of therapeutics, such as anti-influenza, anti-inflammatory, Gaucher’s disease, hepatitis and cancer drugs.

These therapeutics are mainly carbohydrate mimics in which proper modifications permit stronger interactions with the target protein, higher stability and better pharmacokinetic properties.

We offer new ligand-based Glycomimetic Focused Library, which includes 210 compounds structurally similar to carbohydrates. The compounds were selected with the use of Bayesian model and contain, in particular, amino, ketone, carboxyl and hydroxyl groups. The model learning was based on the traning-set of known glycomimetics taken from PubChem database using the sum of O and N atoms in the structure of reference ligands and also their FCFP4 fingerprints.

This library comprises drug-like compounds only and provides an excellent basis for discovery of glycomimetic drugs.
OTAVAchemicals Targeted Libraries Collection
Name Number
Kinases 69
Proteases 17
GPCRs 51
Ion channels 5
Disease-based libraries 74
Epigenetic targets 8
Protein-Protein Interaction 2
Peptidomimetic 2
Nuclear Receptors 12
Glycomimetic 1
RNA binding 1
SH2 binding 1
General Activities 128
Other 93

All the compounds are in stock, cherry-picking is available.

The library (DB, SD, XLS, PDF format) as well as the price-list is available on request. Feel free to contact us or use on-line form below to send an inquiry if you are interested to obtain this library or if you need more information.


  1. Laura Cipolla, Barbara La Ferla, Cristina Airoldi, Cristiano Zona, Alexandre Orsato, Nasrin Shaikh, Laura Russo & Francesco Nicotra, Carbohydrate mimetics and scaffolds: sweet spots in medicinal chemistry, Future Med. Chem. (2010) 2(4), 587–599.
  2. Finn V. Jensen and Thomas D. Nielsen, Bayesian Networks and Decision Graphs (second edition), Springer, 2007.

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