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.
Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.
The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.
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 is unique due to several crucial aspects:
partner
Reaxense
upacc
Q9UKP3
UPID:
ITBP2_HUMAN
Alternative names:
Melusin
Alternative UPACC:
Q9UKP3; Q32N04; Q549J7
Background:
Integrin beta-1-binding protein 2, also known as Melusin, is a protein that may play a crucial role during the maturation and organization of muscle cells. Its involvement in cellular processes highlights its importance in muscle cell structure and function.
Therapeutic significance:
Understanding the role of Integrin beta-1-binding protein 2 could open doors to potential therapeutic strategies. Its pivotal role in muscle cell organization suggests its potential in targeting muscle-related disorders.