
Biophysical Approaches for the Study of Membrane Structure Part B
- 1st Edition, Volume 701 - July 17, 2024
- Imprint: Academic Press
- Editors: Markus Deserno, Tobias Baumgart
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 5 6 6 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 5 6 7 - 6
Biophysical Approaches for the Study of Membrane Structure, Part B, Volume 701 explores lipid membrane asymmetry and lateral heterogeneity. A burst of recent research has shown… Read more

Purchase options

Institutional subscription on ScienceDirect
Request a sales quoteBiophysical Approaches for the Study of Membrane Structure, Part B, Volume 701 explores lipid membrane asymmetry and lateral heterogeneity. A burst of recent research has shown that bilayers whose leaflets differ in their physical properties—such as composition, phase state, or lateral stress—exhibit many fascinating new characteristics, but also pose a host of challenges related to their creation, characterization, simulation, and theoretical description. Chapters in this new release include Characterization of domain formation in complex membranes: Analyzing the bending modulus from simulations of complex membranes, The density-threshold affinity: Calculating lipid binding affinities from unbiased Coarse-Grain Molecular Dynamics simulations, and much more.
Additional sections cover Uncertainty quantification for trans-membrane stresses and moments from simulation, Using molecular dynamics simulations to generate small-angle scattering curves and cryo-EM images of proteoliposomes, Binary Bilayer Simulations for Partitioning Within Membranes, Modeling Asymmetric Cell Membranes at All-atom Resolution, Multiscale remodeling of biomembranes and vesicles, Building complex membranes with Martini 3, Predicting lipid sorting in curved bilayer membranes, Simulating asymmetric membranes using P21 periodic boundary conditions, and many other interesting topics.
Additional sections cover Uncertainty quantification for trans-membrane stresses and moments from simulation, Using molecular dynamics simulations to generate small-angle scattering curves and cryo-EM images of proteoliposomes, Binary Bilayer Simulations for Partitioning Within Membranes, Modeling Asymmetric Cell Membranes at All-atom Resolution, Multiscale remodeling of biomembranes and vesicles, Building complex membranes with Martini 3, Predicting lipid sorting in curved bilayer membranes, Simulating asymmetric membranes using P21 periodic boundary conditions, and many other interesting topics.
- Explore the state-of-the-art of lipid membrane asymmetry
- Covers experimental, theoretical, and computational techniques to create and characterize asymmetric lipid membranes
- Teaches how these kinds of approaches create and characterize laterally inhomogeneous membranes
Scientists—from PhD students to research group leaders—eager to start their own research on biomembrane asymmetry.
- Cover image
- Title page
- Table of Contents
- Series Page
- Copyright
- Contributors
- Preface
- Chapter One: Characterization of domain formation in complex membranes
- Abstract
- 1 ARENA
- 2 DomHMM
- 3 Implementation
- 4 Alternatives
- 5 Outlook
- 6 Connections
- Acknowledgement
- References
- Chapter Two: The density-threshold affinity: Calculating lipid binding affinities from unbiased coarse-grained molecular dynamics simulations
- Chapter points
- Abstract
- 1 Arena
- 2 Density-threshold affinity
- 3 Implementation
- 4 Performance
- 5 Alternatives
- 6 Outlook
- 7 Connections
- References
- Chapter Three: Quantifying uncertainty in trans-membrane stresses and moments in simulation
- Abstract
- Highlights
- 1 Arena
- 2 Accounting for spatiotemporal correlations
- 3 Implementation
- 4 Applications and usage
- 5 Connections
- References
- Chapter Four: Binary bilayer simulations for partitioning within membranes
- Abstract
- 1 Arena
- 2 Binary bilayer system
- 3 Implementation
- 4 Preliminary symmetric bilayer simulations
- 5 Equilibration of individual bilayers
- 6 Assembly of the binary bilayer system
- 7 Performance
- 8 Alternatives
- 9 Outlook
- 10 Connections
- Acknowledgements
- References
- Chapter Five: Modeling asymmetric cell membranes at all-atom resolution
- Abstract
- 1 Introduction
- 2 Methods
- 3 Comparison between the methods
- 4 Conclusion
- 5 Connections
- Acknowledgments
- References
- Chapter Six: Multiscale remodeling of biomembranes and vesicles
- Abstract
- 1 Introduction
- 2 Shape remodeling of giant vesicles
- 3 Shape transformations of nanovesicles
- 4 Instabilities of lipid bilayers
- 5 Remodeling of vesicle topology
- 6 Summary and outlook
- Acknowledgements
- References
- Chapter Seven: Building complex membranes with Martini 3
- Abstract
- 1 Introduction
- 2 Symmetric mixtures
- 3 Asymmetric complex membranes
- 4 Complex membranes with proteins
- 5 Curved membranes
- 6 Final remarks
- Acknowledgments
- References
- Chapter Eight: Predicting lipid sorting in curved membranes
- Abstract
- 1 Introduction
- 2 The method
- 3 Outlook
- References
- Chapter Nine: Simulating asymmetric membranes using P21 periodic boundary conditions
- Abstract
- 1 Introduction
- 2 P21 periodic boundary conditions
- 3 Implementation
- 4 Simple examples (lipid-only)
- 5 Area equilibration with peptides/proteins
- 6 Applications with in-plane restraints
- 7 Limitations
- 8 Alternatives
- 9 Summary and conclusions
- 10 Connections
- Acknowledgments
- References
- Chapter Ten: Free energy calculations for membrane morphological transformations and insights to physical biology and oncology
- Abstract
- 1 Mechanotransduction through membrane signalosomes
- 2 Computational methods
- 3 Applications in cellular biophysics
- 4 Insights to cancer biophysics and oncology
- Acknowledgments
- References
- Chapter Eleven: Modeling the mechanochemical feedback for membrane-protein interactions using a continuum mesh model
- Highlights
- Abstract
- 1 Arena
- 2 Membrane dynamics in 3 dimensions using discrete differential geometry (Mem3DG)
- 3 Implementation
- 4 Performance
- 5 Alternatives
- 6 Outlook
- 7 Connections
- References
- Chapter Twelve: Lattice-based mesoscale simulations and mean-field theory of cell membrane adhesion
- Abstract
- 1 Introduction
- 2 Lattice-based mesoscale model for membrane adhesion
- 3 Mean-field theory
- 4 Implementation of the mean-field theory: Phase diagram
- 5 Monte Carlo simulations
- 6 Implementation of the Monte Carlo simulation: Algorithm
- 7 Parameter tuning
- 8 Examples
- 9 Performance
- 10 Summary and outlook
- 11 Connections
- Acknowledgements
- References
- Chapter Thirteen: Dynamic framework for large-scale modeling of membranes and peripheral proteins
- Abstract
- 1 Introduction
- 2 Main
- 3 Future directions
- References
- Chapter Fourteen: Computing the influence of lipids and lipid complexes on membrane mechanics
- Abstract
- 1 Methodology for extracting bilayer surface mechanics from simulations
- 2 Generalized spontaneous curvature and the SPEX method
- 3 Softening by complex lipid composition
- 4 Connections
- Acknowledgments
- References
- Chapter Fifteen: Non-affine deformation analysis and 3D packing defects: A new way to probe membrane heterogeneity in molecular simulations
- Abstract
- 1 Introduction
- 2 The non-affine deformation content (χ2) as a measure of local order
- 3 Results and insights
- 4 Hydrophobic defects as a measure of local lipid packing
- 5 Results and insights
- 6 Formalizing the connection between membrane order and packing via the NAD analysis and 3D packing defects
- 7 Summary and conclusions
- 8 Connections
- References
- Chapter Sixteen: Analyzing lipid distributions and curvature in molecular dynamics simulations of complex membranes
- Abstract
- 1 Arena
- 2 Methods
- 3 Implementation and examples
- 4 Performance
- 5 Alternatives
- 6 Outlook
- 7 Connections
- References
- Edition: 1
- Volume: 701
- Published: July 17, 2024
- Imprint: Academic Press
- No. of pages: 412
- Language: English
- Hardback ISBN: 9780443295669
- eBook ISBN: 9780443295676
MD
Markus Deserno
Markus Deserno is a professor in the Department of Physics at Carnegie Mellon University, where he works in the field of theoretical and computational biophysics. He focuses on lipid membranes and proteins, using a wide spectrum of techniques that range from coarse-grained molecular dynamics simulations up to differential geometry, continuum elasticity, and statistical field theory. Deserno received his Ph.D. from the Max Planck Institute for Polymer Research (MPI-P) in Mainz, Germany, in 2000. After graduation, he held a postdoctoral research position in the Department of Chemistry and Biochemistry at UCLA, followed by a group leader position back at the MPI-P. In 2007 he joined the Department of Physics at Carnegie Mellon University, where he got tenured in 2011 and became Full Professor in 2016. Between 2014 and 2020 Deserno served on the Editorial Board of the Biophysical Journal. He is an elected Fellow of the American Physical Society and received the Thomas E. Thompson Award of the Biophysical Society.
Edit
Affiliations and expertise
Professor, Department of Physics, Carnegie Mellon University, USATB
Tobias Baumgart
Tobias Baumgart is a professor in the Chemistry Department of the University of Pennsylvania. An experimental biophysical chemist at heart, he focuses on understanding how both lipids and proteins, as well as the continuum mechanics of bilayer assemblies determine membrane function. Baumgart obtained his Ph.D. from the Max Planck Institute for Polymer Research (MPI-P) and the Johannes Gutenberg University in Mainz, Germany, in 2001. He was a postdoctoral research associate with Watt Webb, Gerald Feigenson, and Barbara Baird at Cornell University in Ithaca, before becoming an Assistant Professor in 2005, and a full professor in 2017. He was on the Biophysical Journal’s Editorial Board between 2013 and 2019. He is a recipient of the Alfred P. Sloan and NSF CAREER awards, as well as the Dennis M. DeTurck and Charles Ludwig awards for distinguished teaching.
Edit
Affiliations and expertise
Professor, Chemistry Department, University of Pennsylvania, USARead Biophysical Approaches for the Study of Membrane Structure Part B on ScienceDirect