AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Adenosine deaminase

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.

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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 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.

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

P00813

UPID:

ADA_HUMAN

Alternative names:

Adenosine aminohydrolase

Alternative UPACC:

P00813; Q53F92; Q6LA59

Background:

Adenosine deaminase, also known as adenosine aminohydrolase, plays a pivotal role in purine metabolism and adenosine homeostasis. It catalyzes the deamination of adenosine and 2-deoxyadenosine, influencing cellular signaling and immune responses. Its interactions enhance T-cell coactivation, dendritic cell immunogenicity, and modulate adenosine receptors, contributing to various physiological processes.

Therapeutic significance:

Adenosine deaminase deficiency is linked to severe combined immunodeficiency, a condition marked by impaired immunity and vulnerability to infections. Understanding its function and interaction pathways offers a promising avenue for developing targeted therapies for this autosomal recessive disorder, potentially transforming patient outcomes.

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