AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for 1-phosphatidylinositol 4,5-bisphosphate phosphodiesterase beta-3

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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 our partner Reaxense.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance 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

Reaxense

upacc

Q01970

UPID:

PLCB3_HUMAN

Alternative names:

Phosphoinositide phospholipase C-beta-3; Phospholipase C-beta-3

Alternative UPACC:

Q01970; A5PKZ6; G5E960; Q8N1A4

Background:

1-phosphatidylinositol 4,5-bisphosphate phosphodiesterase beta-3, also known as Phosphoinositide phospholipase C-beta-3 and Phospholipase C-beta-3, plays a crucial role in cell signaling by generating diacylglycerol (DAG) and inositol 1,4,5-trisphosphate (IP3). These second messenger molecules are pivotal in transmitting signals from various growth factors and hormones.

Therapeutic significance:

This protein's mutation is linked to Spondylometaphyseal dysplasia with corneal dystrophy, a disorder affecting growth, limb development, and intellectual ability. Understanding the role of 1-phosphatidylinositol 4,5-bisphosphate phosphodiesterase beta-3 could open doors to potential therapeutic strategies for this and related conditions.

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