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.
The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.
Our top-notch dedicated system is used to design specialised 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 distinguishes itself through several key aspects:
partner
Reaxense
upacc
Q5JPH6
UPID:
SYEM_HUMAN
Alternative names:
Glutamyl-tRNA synthetase
Alternative UPACC:
Q5JPH6; B3KTT2; D3DWF1; Q86YH3; Q8TF31
Background:
The Probable glutamate--tRNA ligase, mitochondrial, also known as Glutamyl-tRNA synthetase, plays a critical role in protein synthesis. It catalyzes the attachment of glutamate to tRNA(Glu) in a two-step reaction, crucial for mitochondrial function and cellular energy production.
Therapeutic significance:
Linked to Combined oxidative phosphorylation deficiency 12, a severe neurologic disorder, understanding the role of Probable glutamate--tRNA ligase could open doors to potential therapeutic strategies, offering hope for treatments targeting mitochondrial dysfunctions.