AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Occludin

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q16625

UPID:

OCLN_HUMAN

Alternative names:

-

Alternative UPACC:

Q16625; B5BU70; D2DU64; D2DU65; D2IGC0; D2IGC1; E2CYV9; Q5U1V4; Q8N6K1

Background:

Occludin, encoded by the gene with accession number Q16625, is pivotal in tight junction formation and regulation, ensuring paracellular permeability barrier integrity. It also serves as a coreceptor for hepatitis C virus in hepatocytes, highlighting its role in microbial infection.

Therapeutic significance:

The association of Occludin with Pseudo-TORCH syndrome 1, a neurologic disorder characterized by congenital microcephaly, intracranial calcifications, and severe developmental delay, underscores its therapeutic potential. Targeting Occludin's function or its pathways could offer novel treatment avenues for this syndrome.

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