AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Helicase ARIP4

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.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We utilise our cutting-edge, exclusive workflow to develop focused 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

Q9Y4B4

UPID:

ARIP4_HUMAN

Alternative names:

Androgen receptor-interacting protein 4; RAD54-like protein 2

Alternative UPACC:

Q9Y4B4; Q8TB57; Q9BV54

Background:

Helicase ARIP4, also known as Androgen receptor-interacting protein 4 and RAD54-like protein 2, plays a crucial role in DNA helicase activity, modulating androgen receptor-dependent transactivation in a promoter-specific manner. Despite its inability to remodel mononucleosomes in vitro, its involvement in DNA repair and transcription regulation underscores its biological significance.

Therapeutic significance:

Understanding the role of Helicase ARIP4 could open doors to potential therapeutic strategies. Its pivotal function in modulating androgen receptor activity suggests its potential as a target in diseases where androgen receptor signaling is implicated.

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