AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Eukaryotic initiation factor 4A-II

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.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

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

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve 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

Q14240

UPID:

IF4A2_HUMAN

Alternative names:

ATP-dependent RNA helicase eIF4A-2

Alternative UPACC:

Q14240; D3DNU9; Q53XJ6; Q96B90; Q96EA8

Background:

Eukaryotic initiation factor 4A-II (eIF4A-II) is a pivotal ATP-dependent RNA helicase, serving as a crucial component of the eIF4F complex, instrumental in cap recognition and mRNA ribosomal binding. This protein plays a vital role in unwinding RNA secondary structures in the 5'-UTR of mRNAs, facilitating the small ribosomal subunit's binding and scanning for the initiator codon, essential for the translation initiation process.

Therapeutic significance:

Understanding the role of Eukaryotic initiation factor 4A-II could open doors to potential therapeutic strategies.

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