Explore the Potential with AI-Driven Innovation
The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.
We utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.
Our library stands out due to several important features:
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.