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.
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 use our state-of-the-art dedicated workflow for designing focused libraries.
Fig. 1. The sreening workflow of Receptor.AI
Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of biological functions.
Our library stands out due to several important features:
partner
Reaxense
upacc
Q13326
UPID:
SGCG_HUMAN
Alternative names:
35 kDa dystrophin-associated glycoprotein
Alternative UPACC:
Q13326; Q32M32; Q5T9J6
Background:
Gamma-sarcoglycan, a 35 kDa dystrophin-associated glycoprotein, plays a pivotal role in the sarcoglycan complex. This complex is essential for linking the F-actin cytoskeleton to the extracellular matrix, ensuring structural integrity and stability of muscle tissue.
Therapeutic significance:
Gamma-sarcoglycan's dysfunction is directly linked to Muscular dystrophy, limb-girdle, autosomal recessive 5, characterized by rapid muscle wasting and loss of ambulation. Understanding its role could lead to breakthroughs in therapeutic strategies for this debilitating condition.