Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.


From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Reaxense aids in their synthesis and provision.


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.


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


 

Fig. 1. The screening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance 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.


PARTNER
Receptor.AI
 
UPACC
Q9Y2E5

UPID:
MA2B2_HUMAN

ALTERNATIVE NAMES:
Alpha-1,6-mannosidase; Mannosidase alpha class 2B member 2

ALTERNATIVE UPACC:
Q9Y2E5; Q66MP2; Q86T67

BACKGROUND:
The protein known as Epididymis-specific alpha-mannosidase, with alternative names Alpha-1,6-mannosidase and Mannosidase alpha class 2B member 2, is integral to the enzymatic processing of glycoproteins. This enzyme's activity is essential for the proper folding and function of many proteins, highlighting its significance in cellular biology.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of Epididymis-specific alpha-mannosidase offers a pathway to novel therapeutic approaches. As a key player in protein maturation, targeting this enzyme could lead to breakthroughs in treating diseases where protein misfolding or malfunction is a factor.

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