Lipid bilayer energetics and deformations probed by molecular dynamics computer simulations Steven O. Nielsen Department of Chemistry University of Texas.

Slides:



Advertisements
Similar presentations
Workshop on HPC in India Modelling Soft Matter Balasubramanian Sundaram Chemistry and Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific.
Advertisements

PHYS466 Project Kyoungmin Min, Namjung Kim and Ravi Bhadauria.
Molecular dynamics modeling of thermal and mechanical properties Alejandro Strachan School of Materials Engineering Purdue University
Computer simulations of amphiphilic worms and bi-layers.
Science & Technology Multiscale Modeling of Lipid Bilayer Interactions with Solid Substrates David R. Heine, Aravind R. Rammohan, and Jitendra Balakrishnan.
The Role of Long-Range Forces in Porin Channel Conduction S. Aboud Electrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester.
Trapping of Hydroxyl Radical and Ozone at Salt Aerosol Surfaces: A Molecular Dynamics Study Martina Roeselová, a Douglas J. Tobias, b R. Benny Gerber,
Nanoparticle interaction with model lung surfactant monolayers by Rakesh Kumar Harishchandra, Mohammed Saleem, and Hans-Joachim Galla Interface Volume.
Atomistic vs. Coarse Grained Simulations all atoms vs. four-to-one mapping long range vs. short range interactions only quantitative vs. semi-quantitative.
1 Chi-cheng Chiu The University of Texas at Dallas 12/11/2009 Computer Simulations of the Interaction between Carbon Based Nanoparticles and Biological.
MOLECULAR DYNAMICS SIMULATION STUDY OF MULTIMERIZATION OF THE MMS6 PROTEIN FROM MAGNETOSPIRILLUM MAGNETICUM STRAIN AMB-1 APS March Meeting March 17, 2009.
APS March MeetingDallas, March 22, 2011 FACETING OF MULTICOMPONENT CHARGED ELASTIC SHELLS Rastko Sknepnek, Cheuk-Yui Leung, Liam C. Palmer Graziano Vernizzi,
An image-based reaction field method for electrostatic interactions in molecular dynamics simulations Presented By: Yuchun Lin Department of Mathematics.
 2D-to-3D Deformation Gradient:  In-plane stretch: 2D Green-Lagrange Strain Tensor:  Bending: 2D Curvature Tensor:  2 nd Piola-Kirchoff Stress and.
Case Studies Class 5. Computational Chemistry Structure of molecules and their reactivities Two major areas –molecular mechanics –electronic structure.
Evaluation of Fast Electrostatics Algorithms Alice N. Ko and Jesús A. Izaguirre with Thierry Matthey Department of Computer Science and Engineering University.
A Monatomic System with a Liquid-Liquid Critical Point and Two Distinct Glassy States Sergey Buldyrev Department of Physics Yeshiva University Collaborators:
Peptide Aggregation and Pore Formation in a Lipid Bilayer; a Combined CG and AA MD Study Lea Thøgersen, University of Aarhus Pushing the Boundaries of.
Phospholipid Monolayer Simulations using GROMACS Matthew Storey Dept. of Engineering Science, Penn State Prof. Zuo and Prof. Kobayashi Dept. of Mechanical.
Coarse grained simulations of p7 folding
VISUALISATION OF DOMAINS IN 2D MOLECULAR SYSTEMS BY BREWSTER ANGLE MICROSCOPE J. Cirák.
Roles of Carbon Nanostructures for Advanced Energy Solutions Prashant V. Kamat University of Notre Dame Radiation Research Laboratory South Bend, IN Presented.
Algorithms and Software for Large-Scale Simulation of Reactive Systems _______________________________ Ananth Grama Coordinated Systems Lab Purdue University.
Competition between budding and tubular formation in vesicles enclosing aqueous polymer solutions Yonggang Liu 1 Theory & Bio-systems, Max Planck Institute.
Molecular Dynamic Simulation of Atomic Scale Intermixing in Co-Al Thin Multilayer Sang-Pil Kim *, Seung-Cheol Lee and Kwang-Ryeol Lee Future Technology.
Coarse-grain modeling of lipid membranes
By Pietro Cicuta Statistical mechanics and soft condensed matter Micelle geometry.
Study on Effective Thermal Conduction of the Nanoparticle Suspension Calvin Hong Li Department of Mechanical, Aerospace & Nuclear Engineering Rensselaer.
Ps ns ss ms nm mm mm Ab-initio methods Statistical and continuum methods Atomistic methods.
Vibrational Relaxation of CH 2 ClI in Cold Argon Amber Jain Sibert Group 1.
DMPC on mica Phospholipid monolayer water subphase Gleiche et al., Nature 2000, 403, DPPC on mica Transfer direction Chen et.al., JPCB, 110 (2006)
Atomic Scale Computational Simulation for Nano-materials and Devices: A New Research Tool for Nanotechnology Kwang-Ryeol Lee Future Technology Research.
Toxics Use Reduction Institute Inhalation Exposure to Nanoparticles Michael J. Ellenbecker, Sc.D., CIH Toxics Use Reduction Institute University of Massachusetts.
Self-assembly of surfactant 황인찬. Contents 1. Surfactant and Micelle 2. The Reason for Studying Micelle 3. Simulation Method 4. Definition of Model.
Proteins in Bionanotechnology Computational Studies Andrew Hung, Oliver Beckstein, Robert D’Rozario, Sylvanna S.W. Ho and Mark S.P. Sansom Laboratory of.
DNA structure simulation based on sequence-structure relationship HaYoung Jang
Dynamics of a compound vesicle*
Molecular simulation methods Ab-initio methods (Few approximations but slow) DFT CPMD Electron and nuclei treated explicitly. Classical atomistic methods.
Inverse Monte Carlo Method for Determination of Effective Potentials for Coarse-Grained Models Alexander Lyubartsev ( ) Division of Physical.
Algorithms and Software for Large-Scale Simulation of Reactive Systems _______________________________ Metin Aktulga, Sagar Pandit, Alejandro Strachan,
Coarse grained to atomistic mapping algorithm A tool for multiscale simulations Steven O. Nielsen Department of Chemistry University of Texas at Dallas.
Ferroelectric Nanolithography Extended to Flexible Substrates Dawn A. Bonnell, University of Pennsylvania, DMR Recent advances in materials synthesis.
VERY LARGE MOLECULAR SYSTEMS Polymer Aggregation Protein Folding Mixing of Liquids Bulk Properties of Liquids Liquid-Surface Interface Need a Multi-Scale.
Exploiting geometry to generate anisotropic interactions at the nanoscale and self-assembly of living clusters Angelo Cacciuto, Columbia University, DMR.
Deepak Srivastava Computational Nanotechnology at CSC/NAS NASA Ames Research Center Moffett Field, CA Collaborators: M. Menon – University of Kentucky.
Next Generation Science with Inelastic X-ray Scattering
University of Pennsylvania Department of Bioengineering Hybrid Models For Protein-Membrane Interactions At Mesoscale: Bridge to Intracellular Signaling.
Biological membranes: different cellular organelles have different lipid and protein membrane compositions.
Namas Chandra and Sirish Namilae
A Computational Study of RNA Structure and Dynamics Rhiannon Jacobs and Harish Vashisth Department of Chemical Engineering, University of New Hampshire,
Jessica A. Thomas Department of Biology and Chemistry Purdue University North Central.
Molecular Dynamics of Antimicrobial Peptides Interacting with Membrane Assoc. Prof. Lea Thøgersen Bioinformatic Research Centre Aarhus University DanCARD.
SEPARATION OF CHIRAL NANOTUBES WITH AN OPPOSITE HANDEDNESS BY OLIGOPEPTIDE ADSORPTION: A MOLECULAR DYNAMICS STUDY Giuseppina Raffaini Dipartimento di Chimica,
Nathalya Ramirez1, Zach McNulty2, Michael Orrill3, Saniya Leblanc3
Applications of molecular simulation in materials science and biology
Numerical Modeling of Dynamics and Adhesion of Leukocytes
AQA BONDING, STRUCTURE AND THE PROPERTIES OF MATTER 2
Comparing Experimental and Simulated Pressure-Area Isotherms for DPPC
Atomistic simulations of contact physics Alejandro Strachan Materials Engineering PRISM, Fall 2007.
Atomistic materials simulations at The DoE NNSA/PSAAP PRISM Center
Study on the Self-assembly of Diphenylalanine-based Nanostructures by Coarse-grained Molecular Dynamics Cong Guo and Guanghong Wei Physics Department,
Molecular Dynamics Simulation Analysis of Membrane Defects and Pore Propensity of Hemifusion Diaphragms  Manami Nishizawa, Kazuhisa Nishizawa  Biophysical.
Volume 104, Issue 1, Pages (January 2013)
Advisor: Dr. Bhushan Dharmadhikari 2, Co-Advisor Dr. Prabir Patra 1, 3
Modified Fullerene Vesicles and Membranes,
Surfactant adsorption and self-assembly at solid/liquid interfaces
Alexander J. Sodt, Richard W. Pastor  Biophysical Journal 
Alternative Mechanisms for the Interaction of the Cell-Penetrating Peptides Penetratin and the TAT Peptide with Lipid Bilayers  Semen Yesylevskyy, Siewert-Jan.
Comparing Experimental and Simulated Pressure-Area Isotherms for DPPC
Molecular Dynamics of Oriented Attachment: TiO2 Nanoparticles
Presentation transcript:

Lipid bilayer energetics and deformations probed by molecular dynamics computer simulations Steven O. Nielsen Department of Chemistry University of Texas at Dallas 1

Harishchandra et al. J. R. Soc. Interface, 7, S15–S26, 2010 Air/water interface in the lung lipid monolayer lipid bilayer ~300 million alveoli in the adult lung One of the most important functions of the lung surfactant monolayer is to form the first line of defense against inhaled aerosols such as nanoparticles. 2

3

monolayer ---- bilayer water to lipid ΔG compress to expand back to 0.40 nm 2 / Lipid 0.63 nm 2 / Lipid

C 60 C 540 C 60 Use a hollow shell (continuum) model 5 Water  vacuum transfer free energy of fullerenes fullerene – LJ interaction Spherical fullerenes have a range of sizes C 60 C 540 R = 10.5 ÅR = 3.5 Å Giant fullerenes found in nano-onions Carbon 33, 989 (1995)

Particle location in DOPC lipid bilayer 6 C 60 C 80 C 240 C 320 C 540 6

Aggregation Behavior in DOPC Can measure aggregation propensity as a function of size using the solvation free energy method R= 1.8 Å R= 2.0 Å R= 2.5 ÅR= 10 Å 7

8

Bending rigidity measurement from the response (force) of a deformed membrane 9 Estimated bending rigidity κ from of a DMPC bilayer as a function of the membrane size, L. S. Kawamoto, T. Nakamura, S. Nielsen, and W. Shinoda, J. Chem. Phys (2013).

10 Lipid Polymorphism: Free Energy Analysis of Vesicle-to-Bicelle Transformation Fromherz, Chem. Phys. Lett. 94, 259 (1983) edge energy curvature energy 10

11 Lipid Polymorphism: Free Energy Analysis of Vesicle-to-Bicelle Transformation Measure the response (force) due to a cone potential that “wedges” open the vesicle.

12 After a certain cone angle the transformation becomes spontaneous W. Shinoda, T. Nakamura, and S. Nielsen, Soft Matter (2011).

The problem is that the chosen reaction coordinate is flawed. It would be nice if we didn’t need to use a path !! 13

14 Partay et al, J. Phys. Chem. B (2010), 114,

15 Acknowledgements External Collaborators Russell DeVane ( Procter & Gamble) Chi-cheng Chiu Funding SRC Engineering Research Center for Environmentally Benign Semiconductor Manufacturing Nielsen Lab members Udayana Ranatunga Amir Nasrabadi Blake Wilson Wataru Shinoda ( Nagoya U., Japan)

16 Coarse Graining Dipalmitoylphosphatidylcholine (DPPC) Coarse-Grain (CG) MD : – reduced number of particles – larger system, longer simulation time CG force field developed by Shinoda et al. Parameterized against experimental and atomistic simulation data – Surface tension – Transfer free energy – Membrane structural data W. Shinoda et al. J. Phys. Chem. B 114, pp 6836–6849 (2010)

The question of the dispersion and subsequent potency for CNT to form aggregates … is often proposed as an important determinant of their biological effects., Boczkowski et al. One common thread that emerges: toxicity in vivo is modulated by the aggregation of the nanomaterial., Trpkovic et al. …conclude that the differences in cytotoxic potency and underlying mechanisms displayed by various fullerene preparations are mainly due to some physico-chemical characteristics, such as particle size (surface/volume ratio), surface charge, and aggregation properties. 17