Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.


We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Reaxense helps in synthesizing and delivering these compounds.


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

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage 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
P10619

UPID:
PPGB_HUMAN

ALTERNATIVE NAMES:
Carboxypeptidase C; Carboxypeptidase L; Cathepsin A; Protective protein cathepsin A; Protective protein for beta-galactosidase

ALTERNATIVE UPACC:
P10619; B2R798; Q561W6; Q5JZH1; Q96KJ2; Q9BR08; Q9BW68

BACKGROUND:
Lysosomal Protective Protein, alternatively named Cathepsin A or Carboxypeptidase L, is essential for the stability and activity of lysosomal enzymes beta-galactosidase and neuraminidase. Its role extends to deamidating tachykinins, highlighting its multifunctionality in lysosomal and cellular health.

THERAPEUTIC SIGNIFICANCE:
The association of this protein with Galactosialidosis, characterized by a spectrum of clinical manifestations from skeletal dysplasia to neurologic deterioration, underscores its therapeutic potential. Exploring its protective mechanisms could lead to breakthroughs in treatment strategies for lysosomal storage diseases.

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