AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Testicular acid phosphatase

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.

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

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.

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

Q9BZG2

UPID:

PPAT_HUMAN

Alternative names:

Acid phosphatase 4

Alternative UPACC:

Q9BZG2; C0H3P7; Q9BZG3; Q9BZG4

Background:

Testicular acid phosphatase, also known as Acid phosphatase 4, plays a crucial role in dephosphorylating receptor tyrosine-protein kinase ERBB4, thereby inhibiting its ligand-induced proteolytic cleavage. This protein is implicated in odontogenesis, highlighting its significance in dental enamel formation.

Therapeutic significance:

Linked to Amelogenesis imperfecta 1J, a condition characterized by defective enamel formation, Testicular acid phosphatase's study offers insights into potential treatments for dental disorders. Understanding its role could open doors to innovative therapeutic strategies.

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