AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Zinc finger protein RFP

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.

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.

We employ our advanced, specialised process to create 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.

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

P14373

UPID:

TRI27_HUMAN

Alternative names:

RING finger protein 76; Ret finger protein; Tripartite motif-containing protein 27

Alternative UPACC:

P14373; A2BE15; Q5RJA8; Q5ST26; Q6LA73; Q6NXR9; Q9BZY6; Q9UJL3

Background:

Zinc finger protein RFP, also known as RING finger protein 76, Ret finger protein, and Tripartite motif-containing protein 27, plays a pivotal role in various biological processes. It mediates ubiquitination of substrates, influencing proliferation, innate immunity, apoptosis, immune response, and autophagy. Its ability to ubiquitinate PIK3C2B, regulate retrograde transport, and function in male germ cell development highlights its versatility. Additionally, it possesses DNA-binding activity and forms complexes to regulate apoptosis and immune responses.

Therapeutic significance:

Understanding the role of Zinc finger protein RFP could open doors to potential therapeutic strategies.

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