AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Eukaryotic translation initiation factor 1A, X-chromosomal

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.

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.

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.

Our high-tech, dedicated method is applied to construct targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of 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

P47813

UPID:

IF1AX_HUMAN

Alternative names:

Eukaryotic translation initiation factor 4C

Alternative UPACC:

P47813; B2R5U5; Q0VGC2; Q5JPS5; Q5JPS6

Background:

Eukaryotic translation initiation factor 1A, X-chromosomal, also known as Eukaryotic translation initiation factor 4C, plays a pivotal role in the initiation phase of protein synthesis. It is a key component of the 43S pre-initiation complex, aiding in mRNA scanning, start codon recognition, and the assembly of the 48S complex. This protein's interaction with EIF5 during scanning maintains EIF1 within the open 43S PIC, facilitating the transition to the 80S initiation complex upon start codon location.

Therapeutic significance:

Understanding the role of Eukaryotic translation initiation factor 1A, X-chromosomal could open doors to potential therapeutic strategies.

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