AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Prostaglandin reductase 3

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

Our high-tech, dedicated method is applied to construct targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

Q8N4Q0

UPID:

PTGR3_HUMAN

Alternative names:

Zinc-binding alcohol dehydrogenase domain-containing protein 2

Alternative UPACC:

Q8N4Q0; A8KA15; B4DZ91

Background:

Prostaglandin reductase 3, also known as Zinc-binding alcohol dehydrogenase domain-containing protein 2, plays a crucial role in the metabolic processes of prostaglandins, specifically functioning as 15-oxo-prostaglandin 13-reductase. It efficiently acts on various prostaglandin derivatives, with a preference for 15-keto-PGE2-alpha. This enzyme's overexpression has been shown to repress the transcriptional activity of PPARG and inhibit adipocyte differentiation, highlighting its significant regulatory role in lipid metabolism.

Therapeutic significance:

Understanding the role of Prostaglandin reductase 3 could open doors to potential therapeutic strategies. Its involvement in regulating lipid metabolism and adipocyte differentiation positions it as a potential target for addressing metabolic disorders and obesity.

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