AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for LYR motif-containing protein 4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

Our high-tech, dedicated method is applied to construct targeted 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.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

Q9HD34

UPID:

LYRM4_HUMAN

Alternative names:

-

Alternative UPACC:

Q9HD34; A8K543; Q5XKP1

Background:

LYR motif-containing protein 4 plays a pivotal role in mitochondrial function, specifically in the assembly of iron-sulfur clusters. These clusters are crucial for various cellular processes, including electron transport and enzyme function. The protein stabilizes the core assembly complex, ensuring efficient synthesis of [2Fe-2S] clusters, a foundational step in mitochondrial iron-sulfur protein biogenesis.

Therapeutic significance:

The protein's association with Combined oxidative phosphorylation deficiency 19, a severe mitochondrial disorder, underscores its therapeutic potential. Targeting LYR motif-containing protein 4 could lead to innovative treatments for this and related mitochondrial diseases, offering hope for patients suffering from these challenging conditions.

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