Explore the Potential with AI-Driven Innovation
This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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 promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.
Our top-notch dedicated system is used to design specialised libraries.
Fig. 1. The sreening workflow of Receptor.AI
Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.
Our library distinguishes itself through several key aspects:
partner
Reaxense
upacc
Q8IYX4
UPID:
DND1_HUMAN
Alternative names:
RNA-binding motif, single-stranded-interacting protein 4
Alternative UPACC:
Q8IYX4
Background:
Dead end protein homolog 1, also known as RNA-binding motif, single-stranded-interacting protein 4, plays a crucial role in gene expression regulation. It achieves this by preventing miRNA-mediated gene suppression, specifically in germline cells. This protein binds to U-rich regions in the 3' untranslated region of several mRNAs, blocking the accessibility of target mRNAs to miRNAs, and does not bind to miRNAs themselves. It is implicated in primordial germ cell survival, although not essential for their migration.
Therapeutic significance:
Understanding the role of Dead end protein homolog 1 could open doors to potential therapeutic strategies.