AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Metabotropic glutamate receptor 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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 effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

We use our state-of-the-art dedicated workflow for designing focused libraries for receptors.

 Fig. 1. The sreening workflow of Receptor.AI

This process includes extensive molecular simulations of the receptor in its native membrane environment, along with ensemble virtual screening that accounts for its conformational mobility. In the case of dimeric or oligomeric receptors, the entire functional complex is modelled, identifying potential binding pockets on and between the subunits to encompass 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

Q14416

UPID:

GRM2_HUMAN

Alternative names:

-

Alternative UPACC:

Q14416; B0M0K7; Q14CU5; Q52MC6; Q9H3N6

Background:

Metabotropic glutamate receptor 2 (mGluR2) is a crucial component in the central nervous system, acting as a G-protein coupled receptor for glutamate. This receptor plays a pivotal role in modulating neurotransmission through its ability to inhibit adenylate cyclase activity upon activation by its ligand, glutamate. Its involvement in synaptogenesis and synaptic stabilization highlights its importance in neural communication and plasticity.

Therapeutic significance:

Understanding the role of Metabotropic glutamate receptor 2 could open doors to potential therapeutic strategies. Its regulatory function in neurotransmission and synaptic activities positions it as a key target for addressing neurological disorders.

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