Focused On-demand Library for Potassium voltage-gated channel subfamily E regulatory beta subunit 5

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We utilise our cutting-edge, exclusive workflow to develop 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:

  • 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:

AMME syndrome candidate gene 2 protein; Potassium channel subunit beta MiRP4; Potassium voltage-gated channel subfamily E member 1-like protein

Alternative UPACC:

Q9UJ90; Q5JWV7


The Potassium voltage-gated channel subfamily E regulatory beta subunit 5, known alternatively as AMME syndrome candidate gene 2 protein, Potassium channel subunit beta MiRP4, and Potassium voltage-gated channel subfamily E member 1-like protein, plays a pivotal role in the formation of heteromeric ion channel complexes with voltage-gated potassium (Kv) channel pore-forming alpha subunits. It functions as an inhibitory beta-subunit of the repolarizing cardiac potassium ion channel KCNQ1, essential for generating some native K(+) currents.

Therapeutic significance:

Linked to the AMME complex, a syndrome characterized by glomerulonephritis, sensorineural hearing loss, intellectual disability, midface hypoplasia, and elliptocytosis, understanding the role of Potassium voltage-gated channel subfamily E regulatory beta subunit 5 could open doors to potential therapeutic strategies.

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