Focused On-demand Library for Myosin light chain 3

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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 top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of 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.







Alternative names:

Cardiac myosin light chain 1; Myosin light chain 1, slow-twitch muscle B/ventricular isoform; Ventricular myosin alkali light chain; Ventricular myosin light chain 1; Ventricular/slow twitch myosin alkali light chain

Alternative UPACC:

P08590; B2R534; Q9NRS8


Myosin light chain 3, also known as cardiac myosin light chain 1, plays a crucial role as a regulatory light chain of myosin. It is pivotal in heart muscle function, not binding calcium, and is expressed in various isoforms including ventricular and slow-twitch muscle B/ventricular isoform. This protein's intricate involvement in muscle contraction mechanics underscores its importance in cardiac physiology.

Therapeutic significance:

Cardiomyopathy, familial hypertrophic, 8, a severe hereditary heart disorder, is directly linked to mutations affecting Myosin light chain 3. Characterized by ventricular hypertrophy, this condition can lead to sudden cardiac death. Understanding the role of Myosin light chain 3 could pave the way for innovative therapeutic strategies targeting the molecular basis of heart diseases.

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