AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Receptor-type tyrosine-protein phosphatase zeta

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner 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.

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

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

P23471

UPID:

PTPRZ_HUMAN

Alternative names:

Protein-tyrosine phosphatase receptor type Z polypeptide 1; Protein-tyrosine phosphatase receptor type Z polypeptide 2; R-PTP-zeta-2

Alternative UPACC:

P23471; A4D0W5; C9JFM0; O76043; Q9UDR6

Background:

Receptor-type tyrosine-protein phosphatase zeta, known by its alternative names such as Protein-tyrosine phosphatase receptor type Z polypeptide 1 and 2, and R-PTP-zeta-2, plays a crucial role in the development of the central nervous system. It is instrumental in regulating the proliferation of oligodendrocyte precursor cells in the embryonic spinal cord and is essential for their differentiation into mature oligodendrocytes that are responsible for myelination.

Therapeutic significance:

Understanding the role of Receptor-type tyrosine-protein phosphatase zeta could open doors to potential therapeutic strategies. Its involvement in oligodendrocyte differentiation and protection against apoptosis highlights its potential as a target in treating demyelinating diseases and enhancing neural regeneration.

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