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.
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.
Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.
We utilise our cutting-edge, exclusive workflow to develop 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
Q93062
UPID:
RBPMS_HUMAN
Alternative names:
Heart and RRM expressed sequence
Alternative UPACC:
Q93062; D3DSU9; Q92516; Q92517; Q92518; Q96J26
Background:
The RNA-binding protein with multiple splicing, also known as Heart and RRM expressed sequence, plays a pivotal role in transcriptional activity. It acts as a coactivator, enhancing TGFB1/Smad-mediated transactivation through interaction with SMAD2, SMAD3, and SMAD4. This protein is instrumental in increasing the phosphorylation of SMAD2 and SMAD3, and promotes their nuclear accumulation alongside SMAD4, thereby influencing gene expression.
Therapeutic significance:
Understanding the role of RNA-binding protein with multiple splicing could open doors to potential therapeutic strategies.