Available from Reaxense
This protein is integrated into the Receptor.AI ecosystem as a prospective target with high therapeutic potential. We performed a comprehensive characterization of Myosin regulatory light chain 2, ventricular/cardiac muscle isoform including:
1. LLM-powered literature research
Our custom-tailored LLM extracted and formalized all relevant information about the protein from a large set of structured and unstructured data sources and stored it in the form of a Knowledge Graph. This comprehensive analysis allowed us to gain insight into Myosin regulatory light chain 2, ventricular/cardiac muscle isoform therapeutic significance, existing small molecule ligands, relevant off-targets, and protein-protein interactions.
Fig. 1. Preliminary target research workflow
2. AI-Driven Conformational Ensemble Generation
Starting from the initial protein structure, we employed advanced AI algorithms to predict alternative functional states of Myosin regulatory light chain 2, ventricular/cardiac muscle isoform, including large-scale conformational changes along "soft" collective coordinates. Through molecular simulations with AI-enhanced sampling and trajectory clustering, we explored the broad conformational space of the protein and identified its representative structures. Utilizing diffusion-based AI models and active learning AutoML, we generated a statistically robust ensemble of equilibrium protein conformations that capture the receptor's full dynamic behavior, providing a robust foundation for accurate structure-based drug design.
Fig. 2. AI-powered molecular dynamics simulations workflow
3. Binding pockets identification and characterization
We employed the AI-based pocket prediction module to discover orthosteric, allosteric, hidden, and cryptic binding pockets on the protein’s surface. Our technique integrates the LLM-driven literature search and structure-aware ensemble-based pocket detection algorithm that utilizes previously established protein dynamics. Tentative pockets are then subject to AI scoring and ranking with simultaneous detection of false positives. In the final step, the AI model assesses the druggability of each pocket enabling a comprehensive selection of the most promising pockets for further targeting.
Fig. 3. AI-based binding pocket detection workflow
4. AI-Powered Virtual Screening
Our ecosystem is equipped to perform AI-driven virtual screening on Myosin regulatory light chain 2, ventricular/cardiac muscle isoform. With access to a vast chemical space and cutting-edge AI docking algorithms, we can rapidly and reliably predict the most promising, novel, diverse, potent, and safe small molecule ligands of Myosin regulatory light chain 2, ventricular/cardiac muscle isoform. This approach allows us to achieve an excellent hit rate and to identify compounds ready for advanced lead discovery and optimization.
Fig. 4. The screening workflow of Receptor.AI
Receptor.AI, in partnership with Reaxense, developed a next-generation technology for on-demand focused library design to enable extensive target exploration.
The focused library for Myosin regulatory light chain 2, ventricular/cardiac muscle isoform includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.
Myosin regulatory light chain 2, ventricular/cardiac muscle isoform
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.