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.
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 includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.
Our top-notch dedicated system is used to design specialised libraries for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.
Our library distinguishes itself through several key aspects:
partner
Reaxense
upacc
O75197
UPID:
LRP5_HUMAN
Alternative names:
Low-density lipoprotein receptor-related protein 7
Alternative UPACC:
O75197; Q96TD6; Q9UES7; Q9UP66
Background:
Low-density lipoprotein receptor-related protein 5 (LRP5) plays a pivotal role in Wnt signaling, a pathway essential for cell fate determination, embryonic development, and adult tissue regeneration. It acts as a coreceptor with frizzled family receptors to activate canonical Wnt signaling, influencing osteoblast proliferation and bone mass regulation.
Therapeutic significance:
LRP5's involvement in diseases such as osteoporosis, osteopetrosis, and various forms of vitreoretinopathy underscores its therapeutic potential. Targeting LRP5 could lead to innovative treatments for these conditions, highlighting the importance of understanding its biological functions.