Focused On-demand Libraries - Receptor.AI 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 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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.


 

Fig. 1. The screening 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.


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
Receptor.AI
 
UPACC
Q9UI32

UPID:
GLSL_HUMAN

ALTERNATIVE NAMES:
L-glutaminase; L-glutamine amidohydrolase

ALTERNATIVE UPACC:
Q9UI32; B7Z8Q9; Q8IX91; Q9NYY2; Q9UI31

BACKGROUND:
The enzyme Glutaminase liver isoform, mitochondrial, recognized alternatively as L-glutaminase and L-glutamine amidohydrolase, plays a crucial role in regulating glutamine catabolism. It facilitates the conversion of glutamine to glutamate and alpha-ketoglutarate, thereby promoting mitochondrial respiration and increasing ATP generation. Additionally, it contributes to cellular antioxidant defense by enhancing NADH and glutathione production.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of Glutaminase liver isoform, mitochondrial reveals potential pathways for therapeutic intervention.

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