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 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 high-tech, dedicated method is applied to construct targeted libraries for receptors.
Fig. 1. The sreening workflow of Receptor.AI
This includes comprehensive molecular simulations of the receptor in its native membrane environment, paired with ensemble virtual screening that factors in its conformational mobility. In cases involving dimeric or oligomeric receptors, the entire functional complex is modelled, pinpointing potential binding pockets on and between the subunits to capture the full range of mechanisms of action.
Our library is unique due to several crucial aspects:
partner
Reaxense
upacc
P01589
UPID:
IL2RA_HUMAN
Alternative names:
TAC antigen; p55
Alternative UPACC:
P01589; Q5W007
Background:
Interleukin-2 receptor subunit alpha, also known as TAC antigen or p55, plays a pivotal role in immune regulation. It acts as a receptor for interleukin-2, controlling the activity of regulatory T cells (TREGs), which are essential for maintaining immune tolerance by suppressing autoreactive T-cells.
Therapeutic significance:
The protein is implicated in Type 1 diabetes mellitus 10, a disorder affecting glucose homeostasis, and Immunodeficiency 41, characterized by immune dysregulation. These associations highlight its potential as a target for therapeutic interventions aimed at modulating immune responses and treating autoimmune diseases.