Explore the Potential with AI-Driven Innovation
The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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 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 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 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.