Focused On-demand Library for Caveolin-3

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.

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.

We utilise our cutting-edge, exclusive workflow to develop focused 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 distinguishes itself through several key aspects:

The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

P56539

UPID:

CAV3_HUMAN

Alternative names:

M-caveolin

Alternative UPACC:

P56539; A8K777; Q3T1A4

Background:

Caveolin-3, also known as M-caveolin, plays a pivotal role in cellular mechanisms, acting as a scaffolding protein within caveolar membranes. It directly interacts with G-protein alpha subunits, regulating their activity, and influences voltage-gated potassium channels. Furthermore, Caveolin-3 is crucial in the sarcolemma repair mechanism of skeletal muscle and cardiomyocytes, facilitating rapid membrane resealing after mechanical stress.

Therapeutic significance:

Caveolin-3's involvement in diseases such as HyperCKmia, Rippling muscle disease 2, familial hypertrophic cardiomyopathy, Long QT syndrome 9, Sudden infant death syndrome, and Myopathy, distal, Tateyama type, underscores its therapeutic potential. Understanding the role of Caveolin-3 could open doors to potential therapeutic strategies for these conditions.