Focused On-demand Library for GDNF family receptor alpha-2

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.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner 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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.

Our library distinguishes itself through several key aspects:

The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

O00451

UPID:

GFRA2_HUMAN

Alternative names:

GDNF receptor beta; Neurturin receptor alpha; RET ligand 2; TGF-beta-related neurotrophic factor receptor 2

Alternative UPACC:

O00451; E9PD47; O15316; O15328; Q58J92; Q6GTR9; Q7Z5C2

Background:

GDNF family receptor alpha-2, also known as GDNF receptor beta or Neurturin receptor alpha, plays a crucial role in the nervous system's development and maintenance. It acts as a receptor for neurturin, facilitating the autophosphorylation and activation of the RET receptor, and mediates GDNF signaling, essential for neuronal survival and differentiation. This protein also participates in the phosphorylation of STAT3, a key signaling molecule in various cellular processes.

Therapeutic significance:

Understanding the role of GDNF family receptor alpha-2 could open doors to potential therapeutic strategies. Its involvement in critical signaling pathways for neuronal development and maintenance highlights its potential as a target for treating neurodegenerative diseases and injuries affecting the nervous system.