Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.


We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Reaxense helps in synthesizing and delivering these compounds.


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 employ our advanced, specialised process to create targeted libraries for enzymes.


 

Fig. 1. The screening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance 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
Receptor.AI
 
UPACC
Q5T0T0

UPID:
MARH8_HUMAN

ALTERNATIVE NAMES:
Cellular modulator of immune recognition; Membrane-associated RING finger protein 8; Membrane-associated RING-CH protein VIII; RING finger protein 178; RING-type E3 ubiquitin transferase MARCHF8

ALTERNATIVE UPACC:
Q5T0T0; B2R8E7; H0Y7C6; Q5T0S8; Q8TC72

BACKGROUND:
The protein E3 ubiquitin-protein ligase MARCHF8, with alternative names such as Cellular modulator of immune recognition, is crucial for innate and adaptive immunity. It ubiquitinates and degrades immune checkpoint proteins and viral glycoproteins, thereby controlling immune tolerance and providing a defense mechanism against various viruses, including retroviruses and influenzaviruses.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of E3 ubiquitin-protein ligase MARCHF8 offers promising avenues for therapeutic intervention. Its role in modulating immune recognition and viral defense mechanisms positions it as a valuable target for the development of novel therapies for infectious diseases and immune regulation.

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