AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Glutamate receptor ionotropic, NMDA 2D

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.

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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

 Fig. 1. The sreening workflow of Receptor.AI

This includes comprehensive molecular simulations of the receptor in its native membrane environment, paired with ensemble virtual screening that factors in its conformational mobility. In cases involving dimeric or oligomeric receptors, the entire functional complex is modelled, pinpointing potential binding pockets on and between the subunits to capture the full range of 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

O15399

UPID:

NMDE4_HUMAN

Alternative names:

EB11; Glutamate [NMDA] receptor subunit epsilon-4; N-methyl D-aspartate receptor subtype 2D

Alternative UPACC:

O15399

Background:

The Glutamate receptor ionotropic, NMDA 2D, known as EB11 or Glutamate [NMDA] receptor subunit epsilon-4, plays a crucial role in the NMDA receptor complexes. These complexes function as heterotetrameric, ligand-gated ion channels with high calcium permeability and voltage-dependent sensitivity to magnesium. Activation of these channels requires glutamate and glycine binding, alongside membrane depolarization.

Therapeutic significance:

Developmental and epileptic encephalopathy 46, a severe early-onset epilepsy, is linked to variants affecting the gene encoding this protein. Understanding the role of Glutamate receptor ionotropic, NMDA 2D could open doors to potential therapeutic strategies for this and related neurological conditions.

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