AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Leucine zipper putative tumor suppressor 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

Our top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide 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

Q9Y250

UPID:

LZTS1_HUMAN

Alternative names:

F37/esophageal cancer-related gene-coding leucine-zipper motif; Fez1

Alternative UPACC:

Q9Y250; D3DSQ6; Q9Y5V7; Q9Y5V8; Q9Y5V9; Q9Y5W0; Q9Y5W1; Q9Y5W2

Background:

Leucine zipper putative tumor suppressor 1 (LZTS1), also known as Fez1, plays a crucial role in cell growth regulation. It is believed to stabilize the CDC2-cyclin B1 complex, contributing to cell cycle regulation and preventing uncontrolled cell proliferation. This protein's involvement in such fundamental cellular processes underscores its potential as a key player in tumor suppression.

Therapeutic significance:

Given its association with esophageal cancer, understanding the role of Leucine zipper putative tumor suppressor 1 could open doors to potential therapeutic strategies. Its function in stabilizing cell cycle complexes suggests that targeting LZTS1 pathways may offer new avenues for cancer treatment, particularly in combating esophageal malignancies.

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