Explore the Potential with AI-Driven Innovation
The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.
Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.
We employ our advanced, specialised process to create 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 stands out due to several important features:
partner
Reaxense
upacc
Q7Z410
UPID:
TMPS9_HUMAN
Alternative names:
Polyserase-I; Polyserine protease 1
Alternative UPACC:
Q7Z410; Q6ZND6; Q7Z411
Background:
Transmembrane protease serine 9, known as Polyserase-I or Polyserine protease 1, plays a crucial role in peptide hydrolysis. It specifically targets peptides N-t-Boc-Gln-Ala-Arg-AMC and N-t-Boc-Gln-Gly-Arg-AMC, showcasing its specificity towards serine protease activity. This enzyme's unique substrate preference highlights its potential in biochemical pathways.
Therapeutic significance:
Understanding the role of Transmembrane protease serine 9 could open doors to potential therapeutic strategies. Its precise function in hydrolyzing specific peptides suggests a targeted approach in drug discovery, focusing on diseases where peptide processing is crucial.