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.
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.
Several key aspects differentiate our library:
partner
Reaxense
upacc
O75061
UPID:
AUXI_HUMAN
Alternative names:
DnaJ homolog subfamily C member 6
Alternative UPACC:
O75061; B7Z3V8; D3DQ65; D3DQ66; Q32M66; Q4G0K1; Q5T614; Q5T615
Background:
The Putative tyrosine-protein phosphatase auxilin, also known as DnaJ homolog subfamily C member 6, plays a pivotal role in neuronal clathrin-mediated endocytosis. It recruits HSPA8/HSC70 to clathrin-coated vesicles, facilitating the uncoating process essential for synaptic function.
Therapeutic significance:
Linked to juvenile and early-onset forms of Parkinson disease, understanding the function of this protein could pave the way for novel therapeutic approaches targeting neurodegenerative disorders.