AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Ras-related protein Rab-5C

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

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.

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

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

P51148

UPID:

RAB5C_HUMAN

Alternative names:

L1880; RAB5L

Alternative UPACC:

P51148; F8W1H5; Q6FH55; Q9P0Y5

Background:

Ras-related protein Rab-5C, known by its alternative names L1880 and RAB5L, plays a crucial role in protein transport, specifically in the regulation of vesicular traffic. This protein is a key component in the intricate process of intracellular transport, ensuring the precise delivery of vesicles to their designated locations within the cell.

Therapeutic significance:

Understanding the role of Ras-related protein Rab-5C could open doors to potential therapeutic strategies. Its pivotal function in vesicular traffic highlights its importance in cellular homeostasis and presents an opportunity for targeted drug discovery efforts.

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