Active ResearchMolecular MotorsComputational BiologyBiophysics
Our Biomolecular Machines research program investigates the fundamental physics and mechanics of biological molecular motors, with a focus on understanding how these nanoscale machines convert chemical energy into mechanical work. Our research combines theoretical modeling, computational simulations, and experimental validation to explore the intricate dynamics of cellular transport systems.
Research Focus Areas
Molecular Motors & Transport
Kinesin and Myosin Dynamics
Investigating how molecular motors like kinesin and myosin generate force and movement along cytoskeletal filaments. Our research examines motor protein mechanics, energy conversion efficiency, and collective motor behaviors.
Microtubule Mechanics
Cytoskeletal Dynamics
Studying the mechanical properties of microtubules and their interactions with motor proteins. We focus on filament persistence, gliding mechanics, and the relationship between structure and function in cellular transport.
Biosensor Applications
Technology Development
Developing biomolecular motor-powered biosensors and understanding how motor defects impact device performance. Our work bridges fundamental biology with practical nanotechnology applications.
Computational Modeling
Simulation & Theory
Creating mathematical models and computational simulations to predict molecular motor behavior, optimize biosensor designs, and understand complex transport phenomena in biological systems.
Our latest research investigates the active spiralling behavior of microtubules driven by kinesin motors. This work reveals new insights into how molecular motors can induce complex three-dimensional motion patterns in cytoskeletal filaments.
Key Findings:
Novel spiral motion patterns in kinesin-driven microtubules
Relationship between motor density and spiralling behavior
Applications for understanding cellular organization
We examine the fundamental relationship between path persistence and filament persistence lengths in microtubule gliding assays. This research provides crucial insights into how mechanical properties affect transport efficiency.
Research Highlights:
Quantitative relationship between different persistence measures
Our work investigates how defective molecular motors affect the performance of biomolecular motor-powered biosensors, providing critical insights for developing robust biotechnology applications.
Research Areas:
Impact of motor protein mutations on transport
Resilience mechanisms in molecular shuttle systems
Computational modeling framework for understanding myosin-powered biosensor systems.
Research Methodologies
Theoretical Modeling
Mathematical Frameworks
Stochastic process modeling
Statistical mechanics approaches
Kinetic theory applications
Multi-scale modeling techniques
Computational Simulation
Simulation Tools
Molecular dynamics simulations
Monte Carlo methods
Brownian dynamics modeling
Custom simulation environments
Data Analysis
Quantitative Methods
Statistical analysis of transport data
Image analysis of gliding assays
Parameter estimation techniques
Machine learning applications
Experimental Validation
Laboratory Techniques
Microtubule gliding assays
Single molecule tracking
Fluorescence microscopy
Biosensor performance testing
Future Directions
Our research continues to explore new frontiers in biomolecular machine physics:
Emerging Research Areas
Collective Motor Behavior: Understanding how multiple motors work together in cellular transport
Motor-Cargo Interactions: Investigating how cargo affects motor protein dynamics
Synthetic Biology Applications: Designing artificial molecular machines based on biological principles
Disease Mechanisms: Exploring how motor protein dysfunction contributes to neurodegenerative diseases
Technology Development
Next-Generation Biosensors: Developing more robust and efficient molecular motor-powered devices
Computational Platforms: Creating advanced simulation tools for biomolecular machine research
Diagnostic Applications: Translating fundamental research into clinical diagnostic technologies
Collaboration & Impact
Our biomolecular machines research program collaborates with leading institutions worldwide and contributes to both fundamental understanding and practical applications in biotechnology and medicine. Our work has implications for:
Understanding cellular transport mechanisms
Developing novel biosensing technologies
Creating therapeutic targets for motor protein diseases