Focused On-demand Library for Steroid hormone receptor ERR2

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 top-notch dedicated system is used to design specialised libraries.

Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds 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

O95718

UPID:

ERR2_HUMAN

Alternative names:

ERR beta-2; Estrogen receptor-like 2; Estrogen-related receptor beta; Nuclear receptor subfamily 3 group B member 2

Alternative UPACC:

O95718; A2VDJ2; B6ZGU4; Q5F0P7; Q5F0P8; Q9HCB4

Background:

Steroid hormone receptor ERR2, also known as Estrogen receptor-like 2, plays a pivotal role in gene regulation. It binds a specific DNA sequence to regulate the expression of target genes involved in cell survival, pluripotency, and metabolic processes. Its activity influences the FGF and Wnt signaling pathways, crucial for stem cell renewal and differentiation.

Therapeutic significance:

Linked to autosomal recessive deafness 35, ERR2's genetic variants underscore its clinical relevance. Understanding the role of Steroid hormone receptor ERR2 could open doors to potential therapeutic strategies.