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.
From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.
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 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 is unique due to several crucial aspects:
partner
Reaxense
upacc
Q9NRE1
UPID:
MMP26_HUMAN
Alternative names:
Endometase; Matrilysin-2
Alternative UPACC:
Q9NRE1; Q3MJ78; Q9GZS2; Q9NR87
Background:
Matrix metalloproteinase-26, also known as Endometase and Matrilysin-2, plays a crucial role in the degradation of extracellular matrix components such as collagen type IV, fibronectin, and fibrinogen. Its ability to hydrolyze a wide range of substrates and activate progelatinase B underscores its versatility in tissue remodeling processes.
Therapeutic significance:
Understanding the role of Matrix metalloproteinase-26 could open doors to potential therapeutic strategies. Its involvement in the breakdown and remodeling of the extracellular matrix suggests a pivotal role in tissue repair and regeneration, making it a target of interest in the development of treatments for diseases characterized by excessive matrix degradation or accumulation.