AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Interleukin-20

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.

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

Q9NYY1

UPID:

IL20_HUMAN

Alternative names:

Cytokine Zcyto10

Alternative UPACC:

Q9NYY1; Q17RB3; Q2THG6; Q96QZ6

Background:

Interleukin-20, also known as Cytokine Zcyto10, is a pro-inflammatory and angiogenic cytokine predominantly secreted by monocytes and skin keratinocytes. It plays pivotal roles in immune responses, inflammatory regulation, hemopoiesis, and the differentiation of epidermal cells and keratinocytes. This protein is instrumental in enhancing tissue remodeling, wound healing, and maintaining epithelial layer homeostasis during infections and inflammatory responses. It operates through the type I IL-20 receptor complex (IL20RA and IL20RB) or the type II IL-20 receptor complex (IL22RA1 and IL20RB), influencing various signaling pathways including JAK2, STAT5, AKT, and ERK1/2 phosphorylations.

Therapeutic significance:

Understanding the role of Interleukin-20 could open doors to potential therapeutic strategies.

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