AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Proteasome subunit beta type-5

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.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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.

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

 Fig. 1. The sreening 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.

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

P28074

UPID:

PSB5_HUMAN

Alternative names:

Macropain epsilon chain; Multicatalytic endopeptidase complex epsilon chain; Proteasome chain 6; Proteasome epsilon chain; Proteasome subunit MB1; Proteasome subunit X

Alternative UPACC:

P28074; B2R4N9; B4DUM9; D3DS43; E9PAV2; Q16242; Q6PEW2; Q7Z3B5; Q86T01; Q9TNN9

Background:

Proteasome subunit beta type-5 (PSMB5) is a crucial component of the 20S core proteasome complex, playing a pivotal role in the proteolytic degradation of intracellular proteins. This degradation is essential for maintaining cellular function by removing damaged or misfolded proteins and regulating protein levels. PSMB5 is known by several alternative names, including Macropain epsilon chain and Proteasome subunit MB1, highlighting its multifaceted role in biological systems.

Therapeutic significance:

Understanding the role of Proteasome subunit beta type-5 could open doors to potential therapeutic strategies. Its involvement in protein homeostasis and degradation pathways makes it a compelling target for drug discovery, aiming to address diseases caused by protein accumulation or misfolding.

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