Explore the Potential with AI-Driven Innovation
The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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 use our state-of-the-art dedicated workflow for designing focused libraries.
Fig. 1. The sreening workflow of Receptor.AI
Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.
Key features that set our library apart include:
partner
Reaxense
upacc
Q7Z7H3
UPID:
CATIP_HUMAN
Alternative names:
-
Alternative UPACC:
Q7Z7H3
Background:
The Ciliogenesis-associated TTC17-interacting protein, identified by the accession number Q7Z7H3, plays a pivotal role in primary ciliogenesis through its modulation of actin polymerization. This protein's involvement in the intricate process of ciliogenesis underscores its importance in cellular structure and function.
Therapeutic significance:
Linked to Spermatogenic failure 54, a disorder marked by significantly reduced sperm counts and motility, this protein's genetic variants highlight its critical role in male fertility. Understanding the role of Ciliogenesis-associated TTC17-interacting protein could open doors to potential therapeutic strategies for treating infertility issues.