AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Exosome complex component RRP43

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.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated 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.

We employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse 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

Q96B26

UPID:

EXOS8_HUMAN

Alternative names:

Exosome component 8; Opa-interacting protein 2; Ribosomal RNA-processing protein 43; p9

Alternative UPACC:

Q96B26; O43480; Q5TBA5

Background:

Exosome complex component RRP43, also known as Exosome component 8, plays a crucial role in RNA processing and degradation. It is a non-catalytic component of the RNA exosome complex, involved in the maturation of stable RNA species and the elimination of RNA processing by-products. Its activities span both nuclear and cytoplasmic realms, facilitating the degradation of unstable mRNAs and participating in RNA surveillance pathways.

Therapeutic significance:

The dysfunction of Exosome component 8 is linked to Pontocerebellar hypoplasia 1C, a severe neurodegenerative disease. This association underscores the protein's critical role in neural development and myelin protein balance. Understanding the role of Exosome component 8 could open doors to potential therapeutic strategies for tackling this debilitating condition.

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