AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for UNC5C-like protein

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.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of 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

Reaxense

upacc

Q8IV45

UPID:

UN5CL_HUMAN

Alternative names:

Protein unc-5 homolog C-like; ZU5 and death domain-containing protein

Alternative UPACC:

Q8IV45; Q5TGU1

Background:

The UNC5C-like protein, also known as Protein unc-5 homolog C-like and ZU5 and death domain-containing protein, plays a crucial role in cellular processes by inhibiting NF-kappa-B-dependent transcription. This inhibition is achieved through impairing NF-kappa-B's ability to bind to its targets, showcasing the protein's significant regulatory function in the cell.

Therapeutic significance:

Understanding the role of UNC5C-like protein could open doors to potential therapeutic strategies. Its pivotal function in regulating NF-kappa-B-dependent transcription suggests that it may hold the key to controlling processes involved in inflammation and immune responses, offering a promising avenue for drug discovery.

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