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.
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 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.
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
Q8TCD6
UPID:
PHOP2_HUMAN
Alternative names:
-
Alternative UPACC:
Q8TCD6; B2RC30; D3DPC7
Background:
Pyridoxal phosphate phosphatase PHOSPHO2 exhibits high specificity towards pyridoxal 5'-phosphate (PLP), a vital molecule in the metabolism of amino acids and neurotransmitters. Its enzymatic activity extends to other phosphate-containing compounds, albeit at lower levels, highlighting its potential role in various biochemical pathways.
Therapeutic significance:
Understanding the role of Pyridoxal phosphate phosphatase PHOSPHO2 could open doors to potential therapeutic strategies. Its involvement in crucial metabolic pathways suggests that modulation of its activity could have implications for diseases linked to amino acid and neurotransmitter metabolism.