AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Pyrin

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.

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 effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of biological functions.

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

O15553

UPID:

MEFV_HUMAN

Alternative names:

Marenostrin

Alternative UPACC:

O15553; D3DUC0; F5H0Q3; Q3MJ84; Q96PN4; Q96PN5

Background:

Pyrin, also known as Marenostrin, plays a pivotal role in the regulation of innate immunity and inflammation in response to IFN-gamma. It orchestrates autophagic machinery, coordinating target recognition with the assembly of the autophagic apparatus and initiation of autophagy. Pyrin acts as an autophagy receptor for the degradation of inflammasome components, mitigating excessive inflammation, yet also promotes inflammation by triggering caspase-1 activation and cytokine production.

Therapeutic significance:

Pyrin's mutations are linked to Familial Mediterranean Fever (FMF), both autosomal recessive and dominant forms, and Pyrin-associated autoinflammatory disease (PAAND). These conditions are characterized by episodic fever, inflammation, and pain, with FMF also leading to renal failure. Understanding Pyrin's role could unveil new therapeutic strategies for these autoinflammatory disorders.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.