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.
We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.
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 employ our advanced, specialised process to create targeted libraries.
Fig. 1. The sreening workflow of Receptor.AI
Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.
Our library stands out due to several important features:
partner
Reaxense
upacc
Q9Y3E1
UPID:
HDGR3_HUMAN
Alternative names:
Hepatoma-derived growth factor 2
Alternative UPACC:
Q9Y3E1
Background:
Hepatoma-derived growth factor-related protein 3, also known as Hepatoma-derived growth factor 2, plays a crucial role in enhancing DNA synthesis. Its involvement in cell proliferation underscores its importance in cellular processes.
Therapeutic significance:
Understanding the role of Hepatoma-derived growth factor-related protein 3 could open doors to potential therapeutic strategies.