Focused On-demand Library for Catenin alpha-2

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

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.

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.

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

P26232

UPID:

CTNA2_HUMAN

Alternative names:

Alpha N-catenin; Alpha-catenin-related protein

Alternative UPACC:

P26232; B3KXE5; B7Z2W7; B7Z352; B7Z898; Q4ZFW1; Q53R26; Q53R33; Q53T67; Q53T71; Q53TM8; Q7Z3L1; Q7Z3Y0

Background:

Catenin alpha-2, also known as Alpha N-catenin and Alpha-catenin-related protein, plays a pivotal role in the nervous system's cell-cell adhesion and differentiation. It is essential for cortical neuronal migration and neurite growth, acting as a negative regulator of the Arp2/3 complex and actin polymerization. This regulation is crucial for maintaining neurite growth and stability by suppressing excessive actin branching. Additionally, Catenin alpha-2 is involved in synaptic morphological plasticity and the lamination of the cerebellar and hippocampal regions during development.

Therapeutic significance:

Catenin alpha-2's mutation is linked to Cortical dysplasia, complex, with other brain malformations 9, a severe neurodevelopmental disorder. Understanding the role of Catenin alpha-2 could open doors to potential therapeutic strategies for this and related neurological conditions.