AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Leucine-zipper-like transcriptional regulator 1

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost 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

Q8N653

UPID:

LZTR1_HUMAN

Alternative names:

-

Alternative UPACC:

Q8N653; Q14776; Q20WK0

Background:

Leucine-zipper-like transcriptional regulator 1 plays a pivotal role in the ubiquitination of Ras proteins, including K-Ras, N-Ras, and H-Ras. This process is crucial for the regulation of RAS-MAPK signaling, as it controls Ras levels and reduces its association with membranes, thereby acting as a negative regulator.

Therapeutic significance:

Given its involvement in gliomas, Schwannomatosis 2, and Noonan syndromes 10 and 2, understanding the role of Leucine-zipper-like transcriptional regulator 1 could pave the way for novel therapeutic strategies targeting these conditions. Its function in disease pathogenesis and susceptibility highlights its potential as a therapeutic target.

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