AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Cyclic nucleotide-gated cation channel beta-3

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.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

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

Q9NQW8

UPID:

CNGB3_HUMAN

Alternative names:

Cone photoreceptor cGMP-gated channel subunit beta; Cyclic nucleotide-gated cation channel modulatory subunit; Cyclic nucleotide-gated channel beta-3

Alternative UPACC:

Q9NQW8; C9JA51; Q9NRE9

Background:

Cyclic nucleotide-gated cation channel beta-3, also known as Cone photoreceptor cGMP-gated channel subunit beta, plays a pivotal role in visual signal transduction. It is activated by cGMP, leading to the opening of the cation channel and depolarization of rod photoreceptors. This protein is essential for generating light-evoked electrical responses in various cones, highlighting its significance in color vision and visual acuity.

Therapeutic significance:

Cyclic nucleotide-gated cation channel beta-3 is implicated in Stargardt disease 1 and Achromatopsia 3, both of which affect vision. Understanding its function and the genetic variants that alter its activity could pave the way for innovative treatments for these ocular disorders, offering hope for improved vision or a cure.

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