AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Rhomboid-related protein 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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 our partner Reaxense.

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

O75783

UPID:

RHBL1_HUMAN

Alternative names:

Rhomboid-like protein 1

Alternative UPACC:

O75783; A2IDC0; A2IDC1; Q0VAX4; Q9NQ85

Background:

Rhomboid-related protein 1, alternatively known as Rhomboid-like protein 1, plays a crucial role in regulated intramembrane proteolysis. This process involves the cleavage of membrane-bound proteins, facilitating the release of functional polypeptides. The protein's unique mechanism of action positions it as a key player in cellular signaling and regulation.

Therapeutic significance:

Understanding the role of Rhomboid-related protein 1 could open doors to potential therapeutic strategies. Its involvement in the release of functional polypeptides suggests a pivotal role in cellular processes, making it a promising target for drug discovery efforts aimed at modulating intracellular signaling pathways.

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