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.
From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.
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 for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.
Our library stands out due to several important features:
partner
Reaxense
upacc
Q8IUA7
UPID:
ABCA9_HUMAN
Alternative names:
-
Alternative UPACC:
Q8IUA7; Q6P655; Q8N2S4; Q8WWZ5; Q96MD8
Background:
ATP-binding cassette sub-family A member 9 (ABCA9) is a protein that plays a crucial role in monocyte differentiation and lipid transport and homeostasis. This protein is part of the ATP-binding cassette (ABC) transporters, a large family of proteins that transport various molecules across extra- and intra-cellular membranes.
Therapeutic significance:
Understanding the role of ATP-binding cassette sub-family A member 9 could open doors to potential therapeutic strategies. Its involvement in lipid transport and homeostasis positions it as a key player in metabolic processes, which could be targeted in treatments for metabolic disorders.