Focused On-demand Library for Acid-sensing ion channel 2

Details

Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.


From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. 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 employ our advanced, specialised process to create targeted libraries for enzymes.


 

Fig. 1. The screening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.


Key features that set our library apart include:


  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.

  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.

  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.

  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

PARTNER
Receptor.AI
 
UPACC
Q16515

UPID:
ASIC2_HUMAN

ALTERNATIVE NAMES:
Amiloride-sensitive brain sodium channel; Amiloride-sensitive cation channel 1, neuronal; Amiloride-sensitive cation channel neuronal 1; Brain sodium channel 1; Mammalian degenerin homolog

ALTERNATIVE UPACC:
Q16515; E9PBX2; Q13553; Q6DJU1; Q8N3E2

BACKGROUND:
The Acid-sensing ion channel 2, alternatively known as Amiloride-sensitive cation channel neuronal 1, is integral to neuronal signaling. It is characterized by its ability to gate in response to extracellular protons and its inhibition by the diuretic amiloride. The channel's permeability to sodium, lithium, and potassium ions contributes to its unique biphasic current profile, which is vital for brain function.

THERAPEUTIC SIGNIFICANCE:
The exploration of Acid-sensing ion channel 2's function presents a significant opportunity for drug discovery. By elucidating its role in the nervous system, researchers can identify novel therapeutic targets for the treatment of diseases associated with ion channel dysfunction.

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