Focused On-demand Library for Glucosamine-6-phosphate isomerase 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We employ our advanced, specialised process to create targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.







Alternative names:

Glucosamine-6-phosphate deaminase 2; Glucosamine-6-phosphate isomerase SB52

Alternative UPACC:

Q8TDQ7; B4DJF3; Q2VYF1; Q59EA7; Q8NCZ8; Q96BJ4; Q96NC6


Glucosamine-6-phosphate isomerase 2, also known as Glucosamine-6-phosphate deaminase 2, plays a pivotal role in the hexosamine pathway by catalyzing the conversion of alpha-D-glucosamine 6-phosphate into beta-D-fructose 6-phosphate. This enzyme is crucial for the biosynthesis of uridine diphosphate-N-acetyl-alpha-D-glucosamine, a key precursor in the production of hyaluronan, a component vital for tissue remodeling.

Therapeutic significance:

Understanding the role of Glucosamine-6-phosphate isomerase 2 could open doors to potential therapeutic strategies. Its involvement in the metabolic pathways that regulate tissue remodeling and hyaluronan synthesis highlights its potential as a target for therapeutic intervention in diseases characterized by abnormal tissue growth or repair.

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