AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for ATPase GET3

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.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize 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

O43681

UPID:

GET3_HUMAN

Alternative names:

Arsenical pump-driving ATPase; Arsenite-stimulated ATPase; Guided entry of tail-anchored proteins factor 3, ATPase; Transmembrane domain recognition complex 40 kDa ATPase subunit; hARSA-I; hASNA-I

Alternative UPACC:

O43681; A6NHP8; A8K740; Q53FC6; Q92849

Background:

ATPase GET3, known by alternative names such as Arsenical pump-driving ATPase and Guided entry of tail-anchored proteins factor 3, ATPase, plays a crucial role in the post-translational delivery of tail-anchored proteins to the endoplasmic reticulum. It binds selectively to the transmembrane domain of these proteins, facilitating their insertion into the endoplasmic reticulum membrane, a process regulated by ATP binding and hydrolysis.

Therapeutic significance:

Given its involvement in dilated cardiomyopathy, 2H, a disorder leading to congestive heart failure and arrhythmia, understanding the role of ATPase GET3 could open doors to potential therapeutic strategies.

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