Focused On-demand Library for Na(+)/dicarboxylate cotransporter 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.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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.

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

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of 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.







Alternative names:

Na(+)-coupled carboxylate transporter 3; Sodium-dependent high-affinity dicarboxylate transporter 2; Solute carrier family 13 member 3

Alternative UPACC:

Q8WWT9; B4DIR8; E1P5U4; F6WI18; Q5JYC9; Q5JYD0; Q5JYD1; Q5TCQ2; Q8IVB1; Q8N8K4; Q96MM5; Q9BR25; Q9H1G1; Q9H3W4; Q9NQN5; Q9NS04


Na(+)/dicarboxylate cotransporter 3, also known as Sodium-dependent high-affinity dicarboxylate transporter 2 or Solute carrier family 13 member 3, plays a crucial role in transporting dicarboxylates across cell membranes. It facilitates the uptake of vital citric acid cycle intermediates like succinate and alpha-ketoglutarate, as well as other compounds such as N-acetyl-L-aspartate. This process is essential for cellular energy production and metabolic functions.

Therapeutic significance:

The protein's malfunction is linked to Leukoencephalopathy, an acute reversible disorder with increased urinary alpha-ketoglutarate, highlighting its critical role in neurological health. Understanding the role of Na(+)/dicarboxylate cotransporter 3 could open doors to potential therapeutic strategies for treating this and possibly other metabolic disorders.

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