AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Lon protease homolog 2, peroxisomal

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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 for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve 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

Q86WA8

UPID:

LONP2_HUMAN

Alternative names:

Lon protease-like protein 2; Peroxisomal Lon protease

Alternative UPACC:

Q86WA8; B7ZKL7; Q0D2H6; Q8N3B9; Q8NCE9; Q96K43

Background:

Lon protease homolog 2, peroxisomal, also known as Lon protease-like protein 2, plays a crucial role in cellular homeostasis. It acts as an ATP-dependent serine protease, targeting misfolded and unassembled polypeptides within the peroxisomal matrix for selective degradation. This protein is essential for processing proteins containing the type 2 peroxisome targeting signal (PTS2) and supports the import of matrix proteins into peroxisomes. Its activity is pivotal for the maintenance of peroxisomal function and indirectly influences fatty acid beta-oxidation.

Therapeutic significance:

Understanding the role of Lon protease homolog 2, peroxisomal could open doors to potential therapeutic strategies.

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