AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Proteasome assembly chaperone 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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best 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.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q9BT73

UPID:

PSMG3_HUMAN

Alternative names:

-

Alternative UPACC:

Q9BT73; A4D216; A8MPW2

Background:

Proteasome Assembly Chaperone 3 (PAC3) plays a pivotal role in cellular function by aiding in the assembly of the 20S proteasome, a crucial component in the ubiquitin-proteasome system. This system is responsible for protein degradation, a fundamental process for maintaining cellular homeostasis. PAC3, in collaboration with PSMG1-PSMG2 heterodimers, ensures the precise assembly of proteasomes, highlighting its essential role in cellular machinery.

Therapeutic significance:

Understanding the role of Proteasome Assembly Chaperone 3 could open doors to potential therapeutic strategies. Its critical function in proteasome assembly positions it as a key target for modulating the ubiquitin-proteasome system, which is implicated in various diseases due to its role in protein degradation and homeostasis.

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