Presented at University of California, San Francisco, Biophysics (4/27/00)


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Table of Contents

Outlines

Stochastic Nature of Single Molecules

Fluctuation Measurements by Fluorescence Spectroscopy

From Discrete Markov Model to Continuous Diffusion

Brownian Motion (Diffusion) in a Continuous Energy Landscape

Quantitative Equation of Motion

Smoluchowski Equation, Markov Process & Chemical Kinetics

Protein-Ligand Separation with AFM

Energy Landscapes in Forced Protein-Ligand Separation

Hysteresis in Macromolecular Mechanics

Stochastic Barrier Crossing and Brownian Dynamics

What one learns from P(x,t)?

Stochastic Forced Separation

Equilibrium and Nonequilibrium Steady-State, Cycles & Pumping

Stochastic Michaelis-Menten Kinetics of Single Enzymes

Oscillatory Enzyme Kinetics

The implication of an oscillatory enzyme reaction:

Internal & External of a Motor Protein

Thermal Equilibrium & Cycles

How motor protein generate force?

Free Energy Landscape of Motor Proteins:the “Power Stroke” and the “Ratchet”

From Motor Proteins to Muscle Contraction: Sliding Filaments and Cross-bridges

Two Different Classes of Models on Cross-bridge Kinetics

Microscopic and macroscopic views of force generation

Duality: Transition vs. State Views

Summary

Summary (Continued)

Molecular Biophysics at Three Different Levels of Approach

Author: Hong Qian

Email: qian@amath.washington.edu

Home Page: http://www.amath.washington.edu/~qian