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.
From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.
Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.
Our top-notch dedicated system is used to design specialised libraries for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage activity and selectivity.
Our library distinguishes itself through several key aspects:
partner
Reaxense
upacc
P22612
UPID:
KAPCG_HUMAN
Alternative names:
-
Alternative UPACC:
P22612; O60850; Q5VZ02; Q86YI1
Background:
The cAMP-dependent protein kinase catalytic subunit gamma plays a pivotal role in cellular signaling by phosphorylating a wide array of substrates in both the cytoplasm and nucleus. This enzyme is integral to various cellular processes, including metabolism, gene expression, and memory function.
Therapeutic significance:
Linked to Bleeding disorder, platelet-type, 19, this protein's dysfunction underscores its potential as a target for therapeutic intervention. Understanding its role could lead to novel treatments for this and related platelet dysfunction disorders.