Focused On-demand Library for Glyoxylate reductase/hydroxypyruvate reductase

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.

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.

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.

We use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.

Fig. 1. The sreening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage activity and selectivity.

Key features that set our library apart include:

The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q9UBQ7

UPID:

GRHPR_HUMAN

Alternative names:

Alternative UPACC:

Q9UBQ7; Q5T945; Q9H3E9; Q9H636; Q9UKX1

Background:

The Glyoxylate reductase/hydroxypyruvate reductase, encoded by the gene with the accession number Q9UBQ7, plays a crucial role in metabolic processes. It exhibits hydroxy-pyruvate reductase, glyoxylate reductase, and D-glycerate dehydrogenase enzymatic activities, facilitating the conversion of hydroxypyruvate to D-glycerate, glyoxylate to glycolate, and the oxidation of D-glycerate to hydroxypyruvate.

Therapeutic significance:

Linked to Hyperoxaluria primary 2, a disorder marked by elevated urinary excretion of oxalate and L-glycerate leading to severe renal complications, the protein's dysfunction underscores its therapeutic potential. Targeting its enzymatic pathways could offer novel treatment avenues for managing and potentially reversing the disease's progression.