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 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.
We utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.
Our library is unique due to several crucial aspects:
partner
Reaxense
upacc
P35222
UPID:
CTNB1_HUMAN
Alternative names:
Beta-catenin
Alternative UPACC:
P35222; A8K1L7; Q8NEW9; Q8NI94; Q9H391
Background:
Catenin beta-1, also known as Beta-catenin, plays a pivotal role in the canonical Wnt signaling pathway, crucial for cell adhesion and regulation. It acts as a coactivator for TCF/LEF transcription factors, influencing gene expression. Additionally, it's involved in insulin internalization and neurogenesis, highlighting its multifaceted biological functions.
Therapeutic significance:
Beta-catenin's involvement in diseases such as Colorectal cancer, Pilomatrixoma, Medulloblastoma, Ovarian cancer, Mesothelioma, and Neurodevelopmental disorders underscores its potential as a therapeutic target. Understanding its role could pave the way for innovative treatments for these conditions.