Explore the Potential with AI-Driven Innovation
This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.
Key features that set our library apart include:
partner
Reaxense
upacc
O43930
UPID:
PRKY_HUMAN
Alternative names:
-
Alternative UPACC:
O43930; O15348; O15349
Background:
The Putative serine/threonine-protein kinase PRKY plays a crucial role in cellular signaling pathways. This kinase is involved in the phosphorylation of serine and threonine amino acid residues, a key process in the activation and regulation of various proteins. Its precise functions and mechanisms of action are subjects of ongoing research, highlighting its potential in understanding cellular processes.
Therapeutic significance:
Understanding the role of Putative serine/threonine-protein kinase PRKY could open doors to potential therapeutic strategies. Its involvement in key signaling pathways suggests its potential impact on disease modulation and treatment, making it a significant target for drug discovery efforts.