AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Ras-like protein family member 11B

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

Our high-tech, dedicated method is applied to construct targeted 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.

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

Q9BPW5

UPID:

RSLBB_HUMAN

Alternative names:

-

Alternative UPACC:

Q9BPW5; B2RC51; Q96KC5

Background:

The Ras-like protein family member 11B, encoded by the gene with the accession number Q9BPW5, belongs to a broader family of Ras proteins known for their pivotal roles in cell signaling pathways. These proteins are involved in various cellular processes, including growth, differentiation, and apoptosis. The specific functions of Ras-like protein family member 11B, however, remain to be fully elucidated.

Therapeutic significance:

Understanding the role of Ras-like protein family member 11B could open doors to potential therapeutic strategies. Its involvement in critical cellular processes suggests that it could be a key target in developing treatments for diseases where these pathways are dysregulated.

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