AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Disrupted in schizophrenia 1 protein

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We utilise our cutting-edge, exclusive workflow to develop 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.

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

Q9NRI5

UPID:

DISC1_HUMAN

Alternative names:

-

Alternative UPACC:

Q9NRI5; A6NLH2; C4P091; C4P095; C4P0A1; C4P0A3; C4P0B3; C4P0B6; C4P0C1; C9J6D0; O75045; Q5VT44; Q5VT45; Q8IXJ0; Q8IXJ1; Q9BX19; Q9NRI3; Q9NRI4

Background:

The Disrupted in Schizophrenia 1 protein plays a pivotal role in neurogenesis, influencing embryonic and adult brain development. It is essential for neural progenitor proliferation and participates in Wnt-mediated neural progenitor proliferation by modulating GSK3B activity and CTNNB1 abundance. Additionally, it acts as a modulator of the AKT-mTOR signaling pathway, crucial for neuron integration during adult neurogenesis.

Therapeutic significance:

Given its association with Schizophrenia 9, understanding the role of Disrupted in Schizophrenia 1 protein could open doors to potential therapeutic strategies. Its involvement in neurogenesis and neural progenitor proliferation presents a promising avenue for exploring treatments for schizophrenia and possibly other neurodevelopmental disorders.

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