Explore the Potential with AI-Driven Innovation
Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.
The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.
Our high-tech, dedicated method is applied to construct targeted 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 is unique due to several crucial aspects:
partner
Reaxense
upacc
Q8WYL5
UPID:
SSH1_HUMAN
Alternative names:
SSH-like protein 1
Alternative UPACC:
Q8WYL5; Q6P6C0; Q8N9A7; Q8WYL3; Q8WYL4; Q9P2P8
Background:
Protein phosphatase Slingshot homolog 1, also known as SSH-like protein 1, plays a pivotal role in actin filament dynamics. It dephosphorylates and activates cofilin, a crucial actin-binding and depolymerizing factor, facilitating the disassembly of actin filaments. This process is essential for cellular movement, structure, and signaling.
Therapeutic significance:
Understanding the role of Protein phosphatase Slingshot homolog 1 could open doors to potential therapeutic strategies. Its central function in regulating actin filament dynamics positions it as a key target for interventions in diseases where cell motility and structure are compromised.