Modeling fluctuations in the force-extension single-molecule experiments Alexander Vologodskii New York University.

Slides:



Advertisements
Similar presentations
Biological fluid mechanics at the micro‐ and nanoscale Lecture 7: Atomistic Modelling Classical Molecular Dynamics Simulations of Driven Systems Anne Tanguy.
Advertisements

Computer simulations of amphiphilic worms and bi-layers.
Chemistry 232 Transport Properties.
Elasticity of Elastomers  Materials which undergo recoverable deformation of a few 100 % are called elastomers and exhibit rubber like elasticity  Elastomers.
The Dynamics of Microscopic Filaments Christopher Lowe Marco Cosentino-Lagomarsini (AMOLF)
Biophysics of macromolecules Department of Biophysics, University of Pécs.
Single Molecule Studies of DNA Mechanics with Optical Tweezers Mustafa Yorulmaz Koç University, Material Science and Engineering.
Incorporating Solvent Effects Into Molecular Dynamics: Potentials of Mean Force (PMF) and Stochastic Dynamics Eva ZurekSection 6.8 of M.M.
Optical Tweezers F scatt F grad 1. Velocity autocorrelation function from the Langevin model kinetic property property of equilibrium fluctuations For.
Flexible polymer chain dynamics Yong-Gu Lee. Statistical mechanics of chain molecules.
Force and Velocity Measured for Single Molecules of RNA Polymerase Michelle D. Wang, Mark J. Schnitzer, Hong Yin, Robert Landick, Jeff Gelles, Steven M.
Granular flows under the shear Hisao Hayakawa* & Kuniyasu Saitoh Dept. Phys. Kyoto Univ., JAPAN *
Physics 218: Mechanics Instructor: Dr. Tatiana Erukhimova Sections 818, 819, 820, 821 Lecture 10.
Fluctuations and Brownian Motion 2  fluorescent spheres in water (left) and DNA solution (right) (Movie Courtesy Professor Eric Weeks, Emory University:
Chapter 4 Numerical Solutions to the Diffusion Equation.
Measurement of Kinematics Viscosity Purpose Design of the Experiment Measurement Systems Measurement Procedures Uncertainty Analysis – Density – Viscosity.
Physics of fusion power
Reviewed by Sahar and Pablo
Ch 2: One-dimensional Motion  How do we measure the velocity of something?  Sampling rate  Coordinate system  Position vs time: {t i, x i (t i )} –
RNA Folding Simulation by Giff Ransom RNA Folding Simulation.
Measuring DNA Flexibility (Bending & Twisting) Magnetic Traps, WLC How Mag. Traps Work Equipartion Theorem, Brownian Noise Worm Like Chain– model for extended.
Dynamics.  relationship between the joint actuator torques and the motion of the structure  Derivation of dynamic model of a manipulator  Simulation.
Modeling of Biofilaments: Elasticity and Fluctuations Combined D. Kessler, Y. Kats, S. Rappaport (Bar-Ilan) S. Panyukov (Lebedev) Mathematics of Materials.
Engineering polymer molecules: Twirling DNA Rings and loop polymers Rochish Thaokar IIT Bombay Collaborators: Igor Kulic, University of Pennsylvania Helmut.
Basics of molecular dynamics. Equations of motion for MD simulations The classical MD simulations boil down to numerically integrating Newton’s equations.
Ch 24 pages Lecture 7 – Diffusion and Molecular Shape and Size.
1 Chapter 6: Motion in a Plane. 2 Position and Velocity in 2-D Displacement Velocity Average velocity Instantaneous velocity Instantaneous acceleration.
Chapter 21: Molecules in motion Diffusion: the migration of matter down a concentration gradient. Thermal conduction: the migration of energy down a temperature.
Chapter 3 Applications of Newton’s Laws in 1 dimension –Free Fall –Motion in a Fluid –Spring motion –Molecular Dynamics.
Frank L. H. Brown University of California, Santa Barbara Brownian Dynamics with Hydrodynamic Interactions: Application to Lipid Bilayers and Biomembranes.
Ch 24 pages Lecture 9 – Flexible macromolecules.
Force and Motion This week – This week – Force and Motion – Chapter 4 Force and Motion – Chapter 4.
7. Lecture SS 2005Optimization, Energy Landscapes, Protein Folding1 V7: Diffusional association of proteins and Brownian dynamics simulations Brownian.
Single Molecule: Detection and Manipulation Ilan Tsafrir Tamar Arzi Physics of Complex Systems - Weizmann Institute of Science Interaction Between Membranes.
Effects of DNA structure on its micromechanical properties Yuri Popov University of California, Santa Barbara Alexei Tkachenko University of Michigan,
A certain pendulum consists of a 2
Introduction and applications 1.Homework #3 will be assigned. 2.Quiz today 3.Bending & twisting rigidity of DNA with Magnetic Traps. “MT” Many slides came.
Figure 23.1: Comparison between microfluidic and nanofluidic biomolecule separation. (a) In microfluidic device, friction between liquid and the molecule.
2. Brownian Motion 1.Historical Background 2.Characteristic Scales Of Brownian Motion 3.Random Walk 4.Brownian Motion, Random Force And Friction: The Langevin.
The Old Well 10/25/2003 AMS Sectional Conference 1 Continuum Fluid Simulations Using Microscopically Polymer Computed Constitutive Laws Sorin Mitran
Work Readings: Chapter 11.
Chapter 5 The Laws of Motion.
Fokker-Planck Equation and its Related Topics
The Old Well 10/25/2003 AMS Sectional Conference 1 Continuum Fluid Simulations Using Microscopically Polymer Computed Constitutive Laws Sorin Mitran
Introduction & applications Part II 1.No HW assigned (HW assigned next Monday). 2.Quiz today 3.Bending & twisting rigidity of DNA with Magnetic Traps.
DNA mechanics in a tight squeeze Confinement of biopolymers changes their response to a mechanical force. We have derived an exact formula for the force-extension.
Chemistry 232 Transport Properties. Definitions Transport property. The ability of a substance to transport matter, energy, or some other property along.
Adaptive resolution of 1D mechanical B-spline Julien Lenoir, Laurent Grisoni, Philippe Meseure, Christophe Chaillou.
THERMAL PHYSICS.  Matter is most commonly found in solid, liquid or gas form. We will discuss the properties of these different states of matter. STATES.
Numerical Solutions to the Diffusion Equation
Diffusion over potential barriers with colored noise
Additional materials to the article:
Date of download: 10/18/2017 Copyright © ASME. All rights reserved.
Math 4B Practice Final Problems
Brownian Dynamics Simulations of Nano- and Microfluidic Systems
Chapter 5 The Laws of Motion.
Polymer Dynamics and Rheology
Charlie Gosse, Vincent Croquette  Biophysical Journal 
C10 – Thermal Energy C11 – Energy in Bonds General Physics
Brownian Dynamics Simulation of DNA Condensation
Biointelligence Laboratory, Seoul National University
Daniel A. Beard, Tamar Schlick  Structure 
RNA Polymerase as a Molecular Motor
Volume 76, Issue 1, Pages (January 1999)
Statistical Mechanics and Soft Condensed Matter
Revisiting the Central Dogma One Molecule at a Time
Brownian gyrator : A Minimal heat engine on the nanoscale
Unlinking of Supercoiled DNA Catenanes by Type IIA Topoisomerases
Computational Analysis of DNA Gyrase Action
Marco Capitanio, Francesco S. Pavone  Biophysical Journal 
Presentation transcript:

Modeling fluctuations in the force-extension single-molecule experiments Alexander Vologodskii New York University

Diagram of the force-extension experiment

The force-extension dependence for DNA is well studied

The force has entropic nature

From: J. W. Shaevitz1, E. A. Abbondanzieri, R. Landick & S. M. Block. Backtracking by single RNA polymerase molecules observed at near-base-pair resolution. Nature, 426, The entropic force from extended DNA molecule is used in many single-molecule experiments

DNA model for Brownian dynamics simulations The intersegment interaction is specified by the Debye-Hückel potential Segments are stretchable Virtual beads of a certain diameter placed at chain vertices specify hydrodynamic interaction with solution and between the beads Discrete wormlike chain with some modifications:

Dynamics of the chain is described by the Langevin equations where is a configuration-dependent friction tensor is a force acting on bead represents the randomly fluctuating force resulting from the thermal motion of the surrounding fluid is the mass of bead

How accurate is Brownian dynamics simulation of DNA properties? Comparison of measured and simulated diffusion coefficients of knots along stretched DNA molecule shows that simulation is quite accurate

Tying knots by optical tweezers

Experimental measurement of knot diffusion X. R. Bao, H.J. Lee and S.R. Quake, Phys. Rev. Lett., 91, (2003)

Brownian dynamics simulation of knot diffusion Typical simulated conformations of knotted model chains

Comparison of the measured and computed diffusion coefficients of knots

Simulated values of the force fluctuate strongly

The force fluctuations do not depend on its average value Each point is the averaging over 1 ns

The force averaging does not occur over 0.1  s Each point is the averaging over 100 ns

The force averaging does not occur over 10  s

A good averaging of the force is achieved by averaging over 1 ms

Fluctuations of the force do not depend on DNA length

Presence of a protein-induced bend decreases DNA extension Can the extension measurement be used to determine the bend angle?

Simulated values of the extension reduction resulting from DNA bending by angle 

Large fluctuations of the extension and a finite time of the protein-bound state create a problem

The variations of the extensions are large

Extension of a single DNA molecule by force These are actual proportions for 1500 bp DNA

Fluctuations of DNA extension averaged over 0.4 ms

Fluctuations of DNA extension averaged over 40 ms

What averaging interval do we need?

The work was supported by NIH

Displacement of unknotted part of the model chain eliminates the chain length restriction