AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for cGMP-dependent 3',5'-cyclic phosphodiesterase

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.

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.

Our top-notch dedicated system is used to design specialised 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.

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.

partner

Reaxense

upacc

O00408

UPID:

PDE2A_HUMAN

Alternative names:

Cyclic GMP-stimulated phosphodiesterase

Alternative UPACC:

O00408; B2R646; B3KRV5; E9PGI1; F6W5Z0; Q5J791; Q5J792; Q5J793; Q6ZMR1

Background:

The cGMP-dependent 3',5'-cyclic phosphodiesterase, also known as Cyclic GMP-stimulated phosphodiesterase, plays a pivotal role in cellular processes by regulating the levels of cAMP and cGMP, second messengers crucial for physiological functions. It exhibits a higher efficiency with cGMP over cAMP, influencing cell growth, migration, and mitochondrial functions, including respiration and morphology.

Therapeutic significance:

Linked to Intellectual developmental disorder with paroxysmal dyskinesia or seizures, this protein's understanding could pave the way for innovative treatments targeting its unique enzymatic activity and its role in neuronal signaling pathways.

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