AI-ACCELERATED DRUG DISCOVERY

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

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 pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance 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

P38919

UPID:

IF4A3_HUMAN

Alternative names:

ATP-dependent RNA helicase DDX48; ATP-dependent RNA helicase eIF4A-3; DEAD box protein 48; Eukaryotic initiation factor 4A-like NUK-34; Eukaryotic translation initiation factor 4A isoform 3; Nuclear matrix protein 265

Alternative UPACC:

P38919; Q15033; Q6IBQ2; Q96A18

Background:

Eukaryotic initiation factor 4A-III, known as EIF4A3, is a pivotal ATP-dependent RNA helicase involved in pre-mRNA splicing and a core component of the exon junction complex (EJC). This complex influences mRNA metabolism, including export, localization, translation efficiency, and decay. EIF4A3 binds mRNA near exon-exon junctions, playing a crucial role in the regulation of gene expression.

Therapeutic significance:

EIF4A3 mutations are linked to Richieri-Costa-Pereira syndrome, characterized by facial, limb, and dental anomalies, alongside learning disabilities. Understanding EIF4A3's role could open doors to potential therapeutic strategies for this syndrome and related RNA splicing disorders.

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