Focused On-demand Library for Potassium voltage-gated channel subfamily H member 5

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

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.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

We employ our advanced, specialised process to create targeted 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.

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.







Alternative names:

Ether-a-go-go potassium channel 2; Voltage-gated potassium channel subunit Kv10.2

Alternative UPACC:

Q8NCM2; C9JP98


Potassium voltage-gated channel subfamily H member 5, also known as Ether-a-go-go potassium channel 2 and Voltage-gated potassium channel subunit Kv10.2, plays a crucial role in cellular electrophysiology. This protein forms a pore for potassium ions, facilitating an outward rectifying current that is essential for the electrical activity of cells. Its activity can be influenced by cAMP levels and the assembly of subunits, indicating a complex regulation mechanism.

Therapeutic significance:

Understanding the role of Potassium voltage-gated channel subfamily H member 5 could open doors to potential therapeutic strategies. Its pivotal function in modulating cellular electrical activity makes it a promising target for drug discovery, aiming to treat diseases associated with electrical dysregulation.

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