AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Interleukin-9

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

We employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse 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

P15248

UPID:

IL9_HUMAN

Alternative names:

Cytokine P40; T-cell growth factor P40

Alternative UPACC:

P15248

Background:

Interleukin-9, known as Cytokine P40 or T-cell growth factor P40, is a multifunctional cytokine secreted by T-helper 2 lymphocytes, mast cells, and NKT cells. It plays pivotal roles in immune responses against parasites, influencing intestinal epithelial permeability and adaptive immunity. It promotes the differentiation of specific T-cell subsets, including TH17, and the proliferation and differentiation of mast cells. Its action is mediated through the IL9R and IL2RG receptor units, activating JAK1 and JAK3 kinases, leading to STAT1, STAT3, and STAT5-mediated transcriptional programs.

Therapeutic significance:

Understanding the role of Interleukin-9 could open doors to potential therapeutic strategies, particularly in enhancing immune responses against parasitic infections and modulating immune cell differentiation.

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