AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Desmoglein-1

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 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.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.

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

Q02413

UPID:

DSG1_HUMAN

Alternative names:

Cadherin family member 4; Desmosomal glycoprotein 1; Pemphigus foliaceus antigen

Alternative UPACC:

Q02413; B7Z845

Background:

Desmoglein-1, known as Cadherin family member 4, Desmosomal glycoprotein 1, and Pemphigus foliaceus antigen, plays a crucial role in cell-cell adhesion by being a component of intercellular desmosome junctions. It facilitates the interaction between plaque proteins and intermediate filaments, ensuring cellular cohesion.

Therapeutic significance:

Desmoglein-1 is implicated in Palmoplantar keratoderma 1 and Erythroderma, congenital, with palmoplantar keratoderma, hypotrichosis, and hyper IgE. These conditions highlight the protein's critical role in skin integrity and immune response, suggesting that targeting Desmoglein-1 could lead to novel treatments for these dermatological and immunological disorders.

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