AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Proton-coupled amino acid transporter 2

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.

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 utilise our cutting-edge, exclusive workflow to develop focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

Q495M3

UPID:

S36A2_HUMAN

Alternative names:

Solute carrier family 36 member 2; Transmembrane domain rich protein 1

Alternative UPACC:

Q495M3; Q495M4; Q495M6; Q6ZWK5; Q7Z6B5

Background:

The Proton-coupled amino acid transporter 2, also known as Solute carrier family 36 member 2, plays a crucial role in the electrogenic transport of small side chain amino acids like glycine, alanine, and proline. Its ability to transport both L- and D-enantiomers, while tolerating modifications like methylation, underscores its versatility in amino acid transport.

Therapeutic significance:

Linked to Hyperglycinuria and Iminoglycinuria, understanding the role of Proton-coupled amino acid transporter 2 could open doors to potential therapeutic strategies for these renal disorders. Its specificity for certain amino acids makes it a promising target for drug discovery.

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