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.
The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.
In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.
We use our state-of-the-art dedicated workflow for designing 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 distinguishes itself through several key aspects:
partner
Reaxense
upacc
P11233
UPID:
RALA_HUMAN
Alternative names:
-
Alternative UPACC:
P11233; A4D1W3
Background:
Ras-related protein Ral-A plays a pivotal role in cellular processes such as gene expression, cell migration, proliferation, and membrane trafficking. It functions as a multifunctional GTPase, interacting with various effectors to execute its roles. Notably, it is involved in GTP-dependent exocytosis, integrin-dependent signaling, and mitotic cell division, highlighting its versatility in cellular functions.
Therapeutic significance:
Ral-A's involvement in Hiatt-Neu-Cooper neurodevelopmental syndrome, due to gene variants, underscores its potential as a therapeutic target. Understanding Ral-A's role could pave the way for innovative treatments for this and possibly other neurodevelopmental disorders.