AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Ephrin type-B receptor 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.

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 promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.

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

P29323

UPID:

EPHB2_HUMAN

Alternative names:

Developmentally-regulated Eph-related tyrosine kinase; ELK-related tyrosine kinase; EPH tyrosine kinase 3; EPH-like kinase 5; Renal carcinoma antigen NY-REN-47; Tyrosine-protein kinase TYRO5; Tyrosine-protein kinase receptor EPH-3

Alternative UPACC:

P29323; O43477; Q5T0U6; Q5T0U7; Q5T0U8

Background:

Ephrin type-B receptor 2 (EPHB2) is a pivotal receptor tyrosine kinase involved in various cellular processes, including axon guidance, dendritic spine development, and angiogenesis. It binds to ephrin-B family ligands, facilitating bidirectional signaling crucial for neuronal and vascular development. EPHB2's role extends to palate and inner ear development, emphasizing its significance in embryonic morphogenesis.

Therapeutic significance:

EPHB2's involvement in prostate cancer and a bleeding disorder highlights its potential as a therapeutic target. Mutations in EPHB2 have been linked to prostate cancer progression, suggesting its function as a tumor suppressor. Understanding EPHB2's role could lead to innovative treatments for these conditions, underscoring the importance of research in this area.

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