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.
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.
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.
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 distinguishes itself through several key aspects:
partner
Reaxense
upacc
Q92841
UPID:
DDX17_HUMAN
Alternative names:
DEAD box protein 17; DEAD box protein p72; DEAD box protein p82; RNA-dependent helicase p72
Alternative UPACC:
Q92841; B1AHM0; H3BLZ8; Q69YT1; Q6ICD6
Background:
Probable ATP-dependent RNA helicase DDX17, known as DEAD box protein 17, plays a crucial role in RNA processing, including pre-mRNA splicing, ribosomal RNA processing, and miRNA processing. It regulates alternative splicing of exons and participates in transcription regulation, affecting the splicing of mediators in the steroid hormone signaling pathway. DDX17's interaction with pri-microRNAs aids in the production of specific microRNAs, showcasing its multifaceted role in cellular processes.
Therapeutic significance:
Understanding the role of Probable ATP-dependent RNA helicase DDX17 could open doors to potential therapeutic strategies.