Explore the Potential with AI-Driven Innovation
This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.
Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner 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.
Our top-notch dedicated system is used to design specialised 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
Q52WX2
UPID:
SBK1_HUMAN
Alternative names:
SH3-binding kinase 1
Alternative UPACC:
Q52WX2
Background:
Serine/threonine-protein kinase SBK1, also known as SH3-binding kinase 1, plays a pivotal role in signal-transduction pathways that are crucial for brain development. Its unique function in the modulation of cellular signals underscores its importance in neurological processes.
Therapeutic significance:
Understanding the role of Serine/threonine-protein kinase SBK1 could open doors to potential therapeutic strategies. Its involvement in critical signaling pathways offers a promising avenue for exploring novel treatments in neurodevelopmental disorders.