Focused On-demand Libraries - Receptor.AI 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 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 employ our advanced, specialised process to create targeted libraries for enzymes.


 

Fig. 1. The screening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost 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
Receptor.AI
 
UPACC
P00966

UPID:
ASSY_HUMAN

ALTERNATIVE NAMES:
Citrulline--aspartate ligase

ALTERNATIVE UPACC:
P00966; Q6LDL2; Q86UZ0; Q96GT4

BACKGROUND:
The enzyme argininosuccinate synthase, known alternatively as Citrulline--aspartate ligase, is integral to the urea cycle's function of transforming neurotoxic ammonia into urea in the liver. It is responsible for the biosynthesis of arginine, catalyzing the reaction that forms arginosuccinate from citrulline, aspartate, and ATP.

THERAPEUTIC SIGNIFICANCE:
The significance of argininosuccinate synthase is highlighted in the context of Citrullinemia 1, a disease caused by genetic variants in the enzyme's gene. This condition is characterized by high levels of citrulline in serum and urine and ammonia intoxication. The enzyme's role in this and potentially other urea cycle disorders presents a promising avenue for therapeutic intervention.

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