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.
The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated 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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.
Our library is unique due to several crucial aspects:
partner
Reaxense
upacc
Q13011
UPID:
ECH1_HUMAN
Alternative names:
-
Alternative UPACC:
Q13011; A8K745; Q8WVX0; Q96EZ9
Background:
Delta(3,5)-Delta(2,4)-dienoyl-CoA isomerase, mitochondrial, encoded by the gene with the accession number Q13011, plays a crucial role in lipid metabolism. It catalyzes the isomerization of 3-trans,5-cis-dienoyl-CoA to 2-trans,4-trans-dienoyl-CoA, a key step in the beta-oxidation of unsaturated fatty acids. This enzyme's activity ensures the efficient breakdown of fatty acids, a process vital for energy production in cells.
Therapeutic significance:
Understanding the role of Delta(3,5)-Delta(2,4)-dienoyl-CoA isomerase could open doors to potential therapeutic strategies. Its involvement in lipid metabolism makes it a candidate for research in metabolic disorders and diseases related to energy dysregulation.