AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Glutamine--fructose-6-phosphate aminotransferase [isomerizing] 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

Our top-notch dedicated system is used to design specialised 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.

partner

Reaxense

upacc

O94808

UPID:

GFPT2_HUMAN

Alternative names:

D-fructose-6-phosphate amidotransferase 2; Glutamine:fructose-6-phosphate amidotransferase 2; Hexosephosphate aminotransferase 2

Alternative UPACC:

O94808; Q53XM2; Q9BWS4

Background:

Glutamine--fructose-6-phosphate aminotransferase [isomerizing] 2, also known as D-fructose-6-phosphate amidotransferase 2, plays a pivotal role in glucose metabolism by controlling the flux into the hexosamine pathway. This enzyme is crucial for the availability of precursors necessary for N- and O-linked glycosylation of proteins, impacting various cellular functions.

Therapeutic significance:

Understanding the role of Glutamine--fructose-6-phosphate aminotransferase [isomerizing] 2 could open doors to potential therapeutic strategies. Its involvement in the regulation of glycosylation precursors highlights its importance in cellular processes and disease mechanisms.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.