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.
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.
In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.
We employ our advanced, specialised process to create targeted libraries.
Fig. 1. The sreening workflow of Receptor.AI
Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.
Our library is unique due to several crucial aspects:
partner
Reaxense
upacc
P25311
UPID:
ZA2G_HUMAN
Alternative names:
-
Alternative UPACC:
P25311; D6W5T8; O60386; Q5XKQ4; Q8N4N0
Background:
Zinc-alpha-2-glycoprotein, encoded by the gene symbol P25311, plays a pivotal role in lipid metabolism. It stimulates lipid degradation in adipocytes and is implicated in the fat losses observed in some advanced cancers. This protein's ability to bind polyunsaturated fatty acids highlights its significance in lipid-related processes.
Therapeutic significance:
Understanding the role of Zinc-alpha-2-glycoprotein could open doors to potential therapeutic strategies. Its involvement in lipid degradation and cancer-associated fat loss positions it as a target for developing treatments aimed at metabolic disorders and cancer cachexia.