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.
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 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.
We use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.
Several key aspects differentiate our library:
partner
Reaxense
upacc
Q6ZNF0
UPID:
ACP7_HUMAN
Alternative names:
Purple acid phosphatase long form
Alternative UPACC:
Q6ZNF0; B2RN68
Background:
Acid phosphatase type 7, also known as Purple acid phosphatase long form, plays a crucial role in the hydrolysis of phosphate esters and anhydrides under acidic conditions, facilitating various biological processes. Its unique enzymatic activity distinguishes it within the acid phosphatase family, highlighting its potential in biochemical research.
Therapeutic significance:
Understanding the role of Acid phosphatase type 7 could open doors to potential therapeutic strategies. Its enzymatic functions suggest a broad spectrum of applications in disease treatment and management, although specific disease associations are yet to be fully elucidated.