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.
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 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.
We use our state-of-the-art dedicated workflow for designing focused 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
Q9Y224
UPID:
RTRAF_HUMAN
Alternative names:
CLE7 homolog
Alternative UPACC:
Q9Y224
Background:
The RNA transcription, translation, and transport factor protein, also known as CLE7 homolog, plays a pivotal role in cellular processes. It is an RNA-binding protein that modulates mRNA transcription by Polymerase II, a key component in the tRNA-splicing ligase complex essential for tRNA ligation, and is implicated in RNA transport. Additionally, during infection by influenza virus A, it participates in viral replication.
Therapeutic significance:
Understanding the role of RNA transcription, translation, and transport factor protein could open doors to potential therapeutic strategies.