AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Elongator complex protein 4

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.

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

Q96EB1

UPID:

ELP4_HUMAN

Alternative names:

PAX6 neighbor gene protein

Alternative UPACC:

Q96EB1; B4E3W0; E7EPZ6; Q9H4E8; Q9NX11

Background:

Elongator complex protein 4, also known as PAX6 neighbor gene protein, plays a crucial role in the modification of tRNAs, facilitating the formation of carboxymethyluridine at the wobble base position 34. This process is essential for the accurate translation of genetic information into proteins.

Therapeutic significance:

The protein is implicated in Aniridia 2, a congenital disorder affecting eye development. A mutation affecting its regulatory element disrupts PAX6 expression, leading to iris hypoplasia and other ocular abnormalities. Understanding the role of Elongator complex protein 4 could open doors to potential therapeutic strategies for Aniridia 2 and related ocular conditions.

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