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 high-tech, dedicated method is applied to construct targeted 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.
Several key aspects differentiate our library:
partner
Reaxense
upacc
Q7Z2K6
UPID:
ERMP1_HUMAN
Alternative names:
Felix-ina
Alternative UPACC:
Q7Z2K6; B2RNA4; B3KSB1; Q8N5T5; Q9H5M1
Background:
Endoplasmic reticulum metallopeptidase 1, also known by its alternative name Felix-ina, plays a crucial role within the ovary. It is essential for the organization of somatic cells and oocytes into discrete follicular structures. This protein's unique function highlights its importance in reproductive biology and ovarian physiology.
Therapeutic significance:
Understanding the role of Endoplasmic reticulum metallopeptidase 1 could open doors to potential therapeutic strategies. Its pivotal role in the formation of follicular structures in the ovary suggests that it may be a key target for addressing reproductive health issues.