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


 

Fig. 1. The screening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.


Our library stands out due to several important features:


  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.

  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.

  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.

  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.


PARTNER
Receptor.AI
 
UPACC
Q6PIY7

UPID:
GLD2_HUMAN

ALTERNATIVE NAMES:
PAP-associated domain-containing protein 4; Terminal nucleotidyltransferase 2; Terminal uridylyltransferase 2

ALTERNATIVE UPACC:
Q6PIY7; Q86WZ2; Q8N927

BACKGROUND:
The enzyme Poly(A) RNA polymerase GLD2, known for its roles under alternative names such as PAP-associated domain-containing protein 4, plays a pivotal role in RNA biology. It uniquely adds poly(A) tails to selected cytoplasmic mRNAs and miRNAs, a process essential for their stability and function, setting it apart from other poly(A) RNA polymerases.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of Poly(A) RNA polymerase GLD2 offers a promising pathway to uncover novel therapeutic approaches.

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