Focused On-demand Library for BMP-binding endothelial regulator protein

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.

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.

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 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.

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

Q8N8U9

UPID:

BMPER_HUMAN

Alternative names:

Bone morphogenetic protein-binding endothelial cell precursor-derived regulator; Protein crossveinless-2

Alternative UPACC:

Q8N8U9; A8K1P8; Q8TF36

Background:

The BMP-binding endothelial regulator protein, also known as Protein crossveinless-2, plays a crucial role in skeletal development by inhibiting bone morphogenetic protein (BMP) function. This regulation is essential for the proper responsiveness of osteoblasts and chondrocytes, the cells responsible for bone formation and cartilage development, respectively.

Therapeutic significance:

Given its pivotal role in skeletal development, understanding the BMP-binding endothelial regulator protein's function could open doors to potential therapeutic strategies for Diaphanospondylodysostosis, a rare skeletal disorder linked to gene variants affecting this protein.