AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Frizzled-4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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 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.

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

 Fig. 1. The sreening workflow of Receptor.AI

It features thorough molecular simulations of the receptor within its native membrane environment, complemented by ensemble virtual screening that considers its conformational mobility. For dimeric or oligomeric receptors, the full functional complex is constructed, and tentative binding sites are determined on and between the subunits to cover the entire spectrum of potential mechanisms of action.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

Q9ULV1

UPID:

FZD4_HUMAN

Alternative names:

FzE4

Alternative UPACC:

Q9ULV1; A8K9Q3; Q14C97; Q6S9E4

Background:

Frizzled-4 (FzE4) is a key receptor for Wnt proteins, pivotal in the canonical signaling pathway leading to the activation of gene transcription via beta-catenin accumulation. It plays a crucial role in retinal vascularization, responding to Wnt proteins and norrin to stimulate vascular development and tissue morphogenesis.

Therapeutic significance:

Vitreoretinopathy, exudative 1, a disorder affecting retinal vasculature and potentially leading to blindness, is linked to mutations in the Frizzled-4 gene. Understanding the role of Frizzled-4 could open doors to potential therapeutic strategies for this and related retinal diseases.

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