A Mechanistic Framework for Predictive Cardiac Modeling

MUSICO

MUSICO is a physics-based cardiac simulation engine that translates molecular and tissue-level drug effects into human-relevant cardiac functional predictions.

From Molecular Dynamics to Whole-Heart Physiology

Multiscale modeling

Inherited cardiomyopathies originate from molecular dysfunction but manifest as complex organ-level disease.

MUSICO integrates multiple physiological scales within a unified computational framework:

Molecular Kinetics

Simulation of myosin-actin interactions, ATPase activity, calcium regulation, and mutation-specific molecular behavior.

Sarcomere Mechanics

Modeling of cross-bridge cycling, force generation, contractility, and relaxation dynamics.

Fiber and Tissue Dynamics

Integration of cellular and tissue-level mechanical behavior under physiological loading conditions.

Organ-Level Cardiac Function

Simulation of whole-heart performance and therapeutic response in physiological human conditions.

This multiscale integration enables mechanistic interpretation of how molecular alterations influence cardiac phenotype and therapeutic response.

Mechanistic Modeling Rather Than Pattern Recognition

Physics-based simulation

MUSICO applies biophysical and kinetic principles to simulate cardiac function.

The framework is designed to identify:

  • which molecular processes are altered,
  • how physiological behavior changes,
  • and why therapeutic responses occur.

Unlike purely statistical systems, MUSICO models causal biological mechanisms rather than relying solely on data correlation.  

Core Modeling Capabilities

  • Physics-based kinetics
  • Cross-bridge cycling simulation
  • Calcium sensitivity analysis
  • Contractility modeling
  • Mutation-specific simulation
  • Drug mechanism analysis
  • Human physiological prediction

OUR APPROACH

How MUSICO works

From simulation to decision support-designed for translation across conditions, scales, and species.

Experimental Data Integration

MUSICO incorporates existing experimental datasets, including:

  • ATPase kinetics
  • Stopped-flow measurements
  • Fiber mechanics
  • Sarcomere functional studies
  • Mutation-specific experimental data

No new experimental infrastructure is required to begin translational modeling workflows.  

Kinetic
Fingerprinting

The framework applies mechanistic kinetic analysis to determine:

  • which molecular steps changed,
  • the magnitude of those changes,
  • and their physiological consequences.

This creates interpretable mechanistic fingerprints of disease and therapeutic response.

Species
Translation

MUSICO supports translation of experimental and preclinical findings into predictive human cardiac simulations.

Translation Across Physiological Systems

  • Rodent
  • Pig
  • Human

The framework is designed to preserve mechanistic consistency across species without empirical refitting.  

Human Physiological Simulation

Cardiac function is simulated under physiological human conditions, including:

  • contractility dynamics,
  • relaxation behavior,
  • tissue mechanics,
  • and therapeutic response.

This enables predictive analysis before large-scale clinical investment.

blue heart

Bridging the Translational Gap

Human cardiac translation

Conventional preclinical systems often fail to predict human cardiac response due to differences in physiology and limited multiscale integration. 

MUSICO is designed to bridge this translational gap through:

  • multiscale mechanistic modeling,
  • physiological human simulation,
  • and predictive therapeutic analysis.

Applications Include:

  • Translational drug development
  • Human dose-response prediction
  • Mutation-specific modeling
  • Precision cardiology research
  • Therapeutic optimization

Interpretable Simulation of Cardiac Dysfunction

Mechanistic explainability

MUSICO is designed to generate explainable physiological outputs tied to identifiable biological mechanisms.

Mechanistic simulations can provide insight into:

  • why dysfunction occurs,
  • how therapies alter cardiac performance,
  • and which molecular processes drive observed phenotypes.

This interpretability supports translational research and therapeutic development workflows.

What differentiates MUSICO

Physics-Based Rather Than Statistical

Mechanistic cardiac simulation grounded in biophysical principles.

Human Physiological Modeling

Predictive simulations designed around physiological human cardiac conditions.

Multiscale Integration

Unified modeling from molecule to organ.

Mechanistic Explainability

Interpretable outputs linked to causal biological mechanisms.

Translational Relevance

Designed to support therapeutic development and precision cardiology workflows.

Validated Translational Applications

Applied in translational cardiac studies and pharmaceutical therapeutic-development settings, including predictive modeling associated with cardiac drug development programs.

Computational cardiology for translation decission-making

MUSICO is designed to support earlier and more informed therapeutic-development decisions through mechanistic prediction of human cardiac response.

By integrating molecular kinetics, cardiac mechanics, and physiological simulation within a unified framework, MUSICO enables predictive modeling across inherited cardiomyopathies and translational cardiac research.

Explore Predictive Cardiac Modeling

Learn how MUSICO enables mechanistic simulation across molecular dynamics, cardiac mechanics, and physiological human cardiac function.