Focused On-demand Libraries - Receptor.AI 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 Reaxense.


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.


 

Fig. 1. The screening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.


Key features that set our library apart include:


  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.

  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.

  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.

  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.


PARTNER
Receptor.AI
 
UPACC
Q9Y2D2

UPID:
S35A3_HUMAN

ALTERNATIVE NAMES:
Golgi UDP-GlcNAc transporter; Solute carrier family 35 member A3

ALTERNATIVE UPACC:
Q9Y2D2; A8K3F8; D3DT54; Q68CR2; Q9BSB7

BACKGROUND:
SLC35A3, known for its role as a Golgi UDP-GlcNAc transporter, is pivotal in exchanging UDP-N-acetyl-alpha-D-glucosamine for UMP. This function is vital for supplying substrates to Golgi-resident glycosyltransferases, which are responsible for generating highly branched glycoproteins.

THERAPEUTIC SIGNIFICANCE:
Understanding the role of SLC35A3 could open doors to potential therapeutic strategies. Given its critical function in glycosylation and its link to the disease involving arthrogryposis and seizures, targeting SLC35A3 could lead to innovative treatments for related disorders.

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