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.
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.
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 employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.
Our library stands out due to several important features:
partner
Reaxense
upacc
Q96S66
UPID:
CLCC1_HUMAN
Alternative names:
Mid-1-related chloride channel protein 1
Alternative UPACC:
Q96S66; O94861; Q8WYP8; Q8WYP9; Q9BU25
Background:
Chloride channel CLIC-like protein 1, also known as Mid-1-related chloride channel protein 1, is implicated in chloride ion transport. Its activity is crucial for retina development, highlighting its significance in visual function.
Therapeutic significance:
Linked to Retinitis pigmentosa 32, a degenerative eye disease, this protein's dysfunction underscores its potential as a target for therapeutic intervention. Understanding its role could pave the way for innovative treatments.