AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Myosin regulatory light chain 2, ventricular/cardiac muscle isoform

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.

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.

 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 is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

P10916

UPID:

MLRV_HUMAN

Alternative names:

Cardiac myosin light chain 2; Myosin light chain 2, slow skeletal/ventricular muscle isoform; Ventricular myosin light chain 2

Alternative UPACC:

P10916; Q16123

Background:

Myosin regulatory light chain 2, ventricular/cardiac muscle isoform, known as Cardiac myosin light chain 2, plays a pivotal role in heart development and function. It is essential for heart muscle contraction, influencing myosin kinetics and enhancing cardiac contractility through phosphorylation. This protein is integral to maintaining heart rhythm and force, adapting to physiological demands.

Therapeutic significance:

Linked to diseases such as Cardiomyopathy, familial hypertrophic, 10, and Myopathy, myofibrillar, 12, infantile-onset, with cardiomyopathy, this protein's genetic variants underscore its clinical importance. Understanding its role could lead to breakthroughs in treating heart-related disorders, offering hope for targeted therapies that address the underlying genetic causes.

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