AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Peroxiredoxin-5, mitochondrial

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

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 high-tech, dedicated method is applied to construct targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

P30044

UPID:

PRDX5_HUMAN

Alternative names:

Alu corepressor 1; Antioxidant enzyme B166; Liver tissue 2D-page spot 71B; PLP; Peroxiredoxin V; Peroxisomal antioxidant enzyme; TPx type VI; Thioredoxin peroxidase PMP20; Thioredoxin-dependent peroxiredoxin 5

Alternative UPACC:

P30044; A6NC19; A6NG06; B7ZLJ4; B7ZVW3; Q14CK0; Q6IAF2; Q9UBU5; Q9UJU4; Q9UKX4

Background:

Peroxiredoxin-5, mitochondrial, also known as Peroxiredoxin V and several alternative names such as Alu corepressor 1 and Thioredoxin-dependent peroxiredoxin 5, is a thiol-specific peroxidase. It catalyzes the reduction of hydrogen peroxide and organic hydroperoxides, playing a crucial role in cellular protection against oxidative stress by detoxifying peroxides and acting as a sensor for hydrogen peroxide-mediated signaling events.

Therapeutic significance:

Understanding the role of Peroxiredoxin-5, mitochondrial could open doors to potential therapeutic strategies.

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