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.
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.
Key features that set our library apart include:
partner
Reaxense
upacc
Q9UKQ9
UPID:
KLK9_HUMAN
Alternative names:
Kallikrein-like protein 3
Alternative UPACC:
Q9UKQ9; Q6QA55
Background:
Kallikrein-9, also known as Kallikrein-like protein 3, is a member of the kallikrein family, encoded by the gene with the UniProt accession number Q9UKQ9. Kallikreins are a subgroup of serine proteases and have diverse physiological functions, ranging from roles in blood pressure regulation to wound healing.
Therapeutic significance:
Understanding the role of Kallikrein-9 could open doors to potential therapeutic strategies. Its involvement in key biological processes suggests that modulating its activity could offer new avenues for treating diseases where these processes are dysregulated.