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.


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 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.


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


 

Fig. 1. The screening 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.


Several key aspects differentiate our library:


  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.

  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.

  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.

  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.


PARTNER
Receptor.AI
 
UPACC
Q01105

UPID:
SET_HUMAN

ALTERNATIVE NAMES:
HLA-DR-associated protein II; Inhibitor of granzyme A-activated DNase; PHAPII; Phosphatase 2A inhibitor I2PP2A; Template-activating factor I

ALTERNATIVE UPACC:
Q01105; A5A5H4; A6NGV1; B4DUE2; Q15541; Q5VXV1; Q5VXV2; Q6FHZ5

BACKGROUND:
The multifunctional Protein SET, known for its roles in histone chaperoning and inhibition of DNA replication enzymes, is essential for cellular homeostasis. Its isoforms play significant roles in preventing apoptosis and regulating transcription by inhibiting histone acetylation.

THERAPEUTIC SIGNIFICANCE:
Given its association with Intellectual developmental disorder, autosomal dominant 58, exploring Protein SET's functions offers promising avenues for therapeutic development. Its critical role in cellular processes underscores the potential for targeted therapy strategies.

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