Focused On-demand Library for Transient receptor potential cation channel subfamily V member 4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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 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 employ our advanced, specialised process to create targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage 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.







Alternative names:

Osm-9-like TRP channel 4; Transient receptor potential protein 12; Vanilloid receptor-like channel 2; Vanilloid receptor-like protein 2; Vanilloid receptor-related osmotically-activated channel

Alternative UPACC:

Q9HBA0; B7ZKQ6; Q17R79; Q2Y122; Q2Y123; Q2Y124; Q86YZ6; Q8NDY7; Q8NG64; Q96Q92; Q96RS7; Q9HBC0


Transient receptor potential cation channel subfamily V member 4 (TRPV4) is a versatile protein involved in osmotic sensitivity, mechanosensitivity, and plays a pivotal role in calcium ion permeability across cell membranes. Its activation is influenced by various stimuli including hypotonicity, heat, and phorbol esters, contributing to diverse cellular functions from cell-cell junction formation to bone and cartilage development.

Therapeutic significance:

TRPV4's involvement in a wide array of diseases, from skeletal dysplasias like Brachyolmia 3 and Metatropic dysplasia to neuromuscular disorders such as Charcot-Marie-Tooth disease, underscores its potential as a therapeutic target. Understanding the role of TRPV4 could open doors to potential therapeutic strategies for these conditions.

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