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.
We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.
The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.
We employ our advanced, specialised process to create targeted 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.
Key features that set our library apart include:
partner
Reaxense
upacc
Q9BZ11
UPID:
ADA33_HUMAN
Alternative names:
-
Alternative UPACC:
Q9BZ11; A0A1K6; Q5JT75; Q5JT76; Q8N0W6
Background:
Disintegrin and metalloproteinase domain-containing protein 33 plays a crucial role in cellular processes, although its specific functions remain to be fully elucidated. This protein, encoded by the gene with the accession number Q9BZ11, is implicated in the regulation of various biological mechanisms.
Therapeutic significance:
Given its association with asthma, a chronic disease affecting millions worldwide, understanding the role of Disintegrin and metalloproteinase domain-containing protein 33 could open doors to potential therapeutic strategies. Disease susceptibility is linked to genetic variants affecting this protein, highlighting its importance in asthma pathogenesis.