AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Probable RNA-binding protein EIF1AD

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.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse 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

Q8N9N8

UPID:

EIF1A_HUMAN

Alternative names:

Eukaryotic translation initiation factor 1A domain-containing protein; Haponin

Alternative UPACC:

Q8N9N8; B2R4N5; Q9BSC1

Background:

The Probable RNA-binding protein EIF1AD, also known as Eukaryotic translation initiation factor 1A domain-containing protein or Haponin, plays a crucial role in cellular response to oxidative stress and regulates cell proliferation. Its unique functions highlight its importance in maintaining cellular homeostasis and response mechanisms.

Therapeutic significance:

Understanding the role of Probable RNA-binding protein EIF1AD could open doors to potential therapeutic strategies. Its involvement in oxidative stress response and cell proliferation control makes it a promising target for developing treatments aimed at enhancing cellular resilience and regulating growth.

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