Focused On-demand Library for Potassium channel subfamily K member 4

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

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.

Our high-tech, dedicated method is applied to construct targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.







Alternative names:

TWIK-related arachidonic acid-stimulated potassium channel protein; Two pore potassium channel KT4.1

Alternative UPACC:

Q9NYG8; B5TJL1; Q96T94


Potassium channel subfamily K member 4, also known as TWIK-related arachidonic acid-stimulated potassium channel protein, plays a crucial role in cellular processes. It functions as a voltage-insensitive potassium channel, activated by mechanical forces and changes in intracellular pH. Its activity varies with temperature, increasing significantly from 24 to 42 degrees Celsius. This protein is essential in the sensory perception of pain, responding to both heat and pressure.

Therapeutic significance:

The protein's involvement in Facial dysmorphism, hypertrichosis, epilepsy, intellectual and developmental delay, and gingival overgrowth syndrome highlights its potential as a therapeutic target. Understanding the role of Potassium channel subfamily K member 4 could open doors to potential therapeutic strategies for this complex syndrome.

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