AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit alpha

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

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

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast 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

Reaxense

upacc

Q06190

UPID:

P2R3A_HUMAN

Alternative names:

PP2A subunit B isoform PR72/PR130; PP2A subunit B isoform R3 isoform; PP2A subunit B isoforms B''-PR72/PR130; PP2A subunit B isoforms B72/B130; Serine/threonine-protein phosphatase 2A 72/130 kDa regulatory subunit B

Alternative UPACC:

Q06190; A8KAE7; B4DNU1; B7ZAE3; Q06189; Q9NPQ5

Background:

The Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit alpha, known by alternative names such as PP2A subunit B isoform PR72/PR130, plays a crucial role in cellular function. It modulates substrate selectivity and catalytic activity, directing the localization of the catalytic enzyme to specific subcellular compartments.

Therapeutic significance:

Understanding the role of Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit alpha could open doors to potential therapeutic strategies.

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