Explore the Potential with AI-Driven Innovation
This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.
We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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.
Our top-notch dedicated system is used to design specialised 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
Q8N8L6
UPID:
ARL10_HUMAN
Alternative names:
-
Alternative UPACC:
Q8N8L6
Background:
ADP-ribosylation factor-like protein 10 plays a crucial role in cellular processes, including intracellular trafficking and signal transduction. Its unique structure and function position it as a key player in maintaining cellular homeostasis and regulating protein transport.
Therapeutic significance:
Understanding the role of ADP-ribosylation factor-like protein 10 could open doors to potential therapeutic strategies. Its pivotal role in cellular functions highlights its potential as a target for drug discovery, aiming to modulate its activity for therapeutic benefits.