AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Metabotropic glutamate receptor 3

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.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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 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.

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

Q14832

UPID:

GRM3_HUMAN

Alternative names:

-

Alternative UPACC:

Q14832; Q2PNZ6; Q75MV4; Q75N17; Q86YG6; Q8TBH9

Background:

Metabotropic glutamate receptor 3 (mGluR3) plays a pivotal role in neurotransmission, acting as a G-protein coupled receptor for glutamate. Upon glutamate binding, mGluR3 undergoes a conformational change, initiating signaling through G proteins. This signaling cascade results in the inhibition of adenylate cyclase activity, modulating neuronal excitability and synaptic plasticity.

Therapeutic significance:

Understanding the role of Metabotropic glutamate receptor 3 could open doors to potential therapeutic strategies. Its involvement in modulating neurotransmitter signals positions it as a key target for addressing neurological conditions.

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