AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for V(D)J recombination-activating protein 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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 top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast 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

P55895

UPID:

RAG2_HUMAN

Alternative names:

-

Alternative UPACC:

P55895; A8K9E9; Q8TBL4

Background:

V(D)J recombination-activating protein 2 plays a pivotal role in the immune system's development by facilitating the V(D)J recombination process. This process is crucial for generating a diverse repertoire of immunoglobulin and T-cell receptor genes in B and T-lymphocytes. The protein's function in DNA cleavage and its interaction with chromatin structure underscore its importance in ensuring effective immune responses and maintaining genomic integrity.

Therapeutic significance:

Given its central role in immune system development, V(D)J recombination-activating protein 2 is implicated in several immunodeficiency diseases, including Combined cellular and humoral immune defects with granulomas, Severe combined immunodeficiency autosomal recessive T-cell-negative/B-cell-negative/NK-cell-positive, and Omenn syndrome. Understanding the protein's function and its genetic variants opens avenues for targeted therapies to correct immune system malfunctions and treat these life-threatening conditions.

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