AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Alpha-2A adrenergic receptor

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.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

Our high-tech, dedicated method is applied to construct targeted libraries for receptors.

 Fig. 1. The sreening workflow of Receptor.AI

The method involves detailed molecular simulations of the receptor in its native membrane environment, with ensemble virtual screening focusing on its conformational mobility. When dealing with dimeric or oligomeric receptors, the whole functional complex is modelled, and the tentative binding pockets on and between the subunits are established to address all possible mechanisms of action.

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

P08913

UPID:

ADA2A_HUMAN

Alternative names:

Alpha-2 adrenergic receptor subtype C10; Alpha-2A adrenoreceptor

Alternative UPACC:

P08913; B0LPF6; Q2I8G2; Q2XN99; Q86TH8; Q9BZK1

Background:

The Alpha-2A adrenergic receptor, also known as Alpha-2 adrenergic receptor subtype C10, plays a crucial role in mediating the catecholamine-induced inhibition of adenylate cyclase via G proteins. This receptor has a specific agonist potency order, highlighting its unique interaction with various compounds, including oxymetazoline and clonidine.

Therapeutic significance:

Understanding the role of Alpha-2A adrenergic receptor could open doors to potential therapeutic strategies. Its involvement in key biochemical pathways underscores its potential as a target for drug discovery, aiming to modulate its activity for therapeutic benefits.

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