Focused On-demand Library for Nucleoredoxin

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.

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.

Our top-notch dedicated system is used to design specialised libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.

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.







Alternative names:


Alternative UPACC:

Q6DKJ4; B4DXQ0; D3DTH2; Q3SWW6; Q6P3U6; Q7L4C6; Q9H9Q1


Nucleoredoxin, identified by the accession number Q6DKJ4, plays a pivotal role as a redox-dependent negative regulator within the Wnt signaling pathway. This regulation is crucial, as it may prevent the ubiquitination of DVL3 by the BCR(KLHL12) complex. Beyond its role in Wnt signaling, Nucleoredoxin is posited to function as a transcriptional regulator and influences the activity of protein phosphatase 2A (PP2A), underscoring its multifaceted role in cellular processes.

Therapeutic significance:

The involvement of Nucleoredoxin in Robinow syndrome, autosomal recessive 2, highlights its clinical significance. This condition, characterized by severe skeletal abnormalities, underscores the protein's potential as a therapeutic target. Understanding the role of Nucleoredoxin could open doors to potential therapeutic strategies, especially for conditions like Robinow syndrome where it plays a critical role.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.