Focused On-demand Library for Ephrin type-B receptor 4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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 employ our advanced, specialised process to create targeted 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 distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.







Alternative names:

Hepatoma transmembrane kinase; Tyrosine-protein kinase TYRO11

Alternative UPACC:

P54760; B5A970; B5A971; B5A972; Q7Z635; Q9BTA5; Q9BXP0


Ephrin type-B receptor 4, also known as Hepatoma transmembrane kinase or Tyrosine-protein kinase TYRO11, is a receptor tyrosine kinase binding ephrin-B ligands. It plays a pivotal role in cell adhesion, migration, heart morphogenesis, angiogenesis, and blood vessel remodeling. Its interaction with EFNB2 is crucial for forward signaling, influencing cellular repulsion and segregation.

Therapeutic significance:

Ephrin type-B receptor 4's involvement in Lymphatic malformation 7 and Capillary malformation-arteriovenous malformation 2, diseases affecting the lymphatic system and vascular malformations, respectively, highlights its potential as a therapeutic target. Understanding its role could lead to novel treatments for these conditions.

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