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 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 use our state-of-the-art dedicated workflow for designing focused 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
Q5TFE4
UPID:
NT5D1_HUMAN
Alternative names:
-
Alternative UPACC:
Q5TFE4; B2RND9; B3KR35; Q6XYD5
Background:
5'-nucleotidase domain-containing protein 1, identified by the accession number Q5TFE4, plays a crucial role in nucleotide metabolism. This protein, through its enzymatic activity, regulates the levels of nucleotides in the cell, which are vital for various biological processes including DNA and RNA synthesis.
Therapeutic significance:
Understanding the role of 5'-nucleotidase domain-containing protein 1 could open doors to potential therapeutic strategies. Its involvement in nucleotide metabolism makes it a candidate for research in diseases where nucleotide imbalance is a factor.