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.


The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by Reaxense.


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.


 

Fig. 1. The screening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.


Our library is unique due to several crucial aspects:


  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.

  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.

  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.

  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.


PARTNER
Receptor.AI
 
UPACC
Q9Y5P8

UPID:
P2R3B_HUMAN

ALTERNATIVE NAMES:
PP2A subunit B isoform PR48; Protein phosphatase 2A 48 kDa regulatory subunit

ALTERNATIVE UPACC:
Q9Y5P8; Q6P4G9; Q7RTT1; Q96H01

BACKGROUND:
Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit beta, known alternatively as PP2A subunit B isoform PR48 or Protein phosphatase 2A 48 kDa regulatory subunit, is crucial for the regulation of cellular activities. By affecting substrate selectivity and catalytic activity, and directing the enzyme's localization, it plays a significant role in the cellular signaling pathways.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit beta reveals its potential in developing therapeutic interventions. Its critical role in cellular signaling and regulation makes it a promising candidate for targeted drug development, offering new avenues for treating complex diseases.

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