Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Fluid Mosaic Model01:19

Fluid Mosaic Model

14.4K
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
14.4K
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

156.9K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
156.9K
Membrane Asymmetry Regulating Transporters01:19

Membrane Asymmetry Regulating Transporters

5.9K
Enzymes like flippase, floppase, and scramblase transfer phospholipids from one layer to another in the membrane, thereby affecting membrane asymmetry.
Flippase
Eukaryotic flippases are type-IV P-type ATPases or P4-ATPases belonging to P-type ATPase family proteins that are membrane-bound pumps involved in the ATP-mediated transport of ions and molecules across the membrane. Flippases flip specific phospholipids from the outer to the inner leaflet of a membrane. All P4-ATPases have one...
5.9K
The Resting Membrane Potential01:21

The Resting Membrane Potential

117.3K
Overview
117.3K
Mechanisms of Membrane-bending01:15

Mechanisms of Membrane-bending

2.6K
The living membranes are flexible due to their fluid mosaic nature; however, their bending into different shapes is an active process regulated by specific lipids and proteins. The membrane bending can be transient as seen in vesicles or stable for a long time as in microvilli. Cells regulate the size, location, and duration of the membrane curvature.
Membrane bending can happen due to intrinsic changes in lipid composition or extrinsic association with different proteins. The proteins involved...
2.6K
Resting Membrane Potential01:24

Resting Membrane Potential

17.9K
The relative difference in electrical charge, or voltage, between the inside and the outside of a cell membrane, is called the membrane potential. It is generated by differences in permeability of the membrane to various ions and the concentrations of these ions across the membrane.
The Inside of a Neuron is More Negative
The membrane potential of a cell can be measured by inserting a microelectrode into a cell and comparing the charge to a reference electrode in the extracellular fluid. The...
17.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Structural dynamics in the CENP-A nucleosome impacted by protein-protein interactions with centromere protein N.

Nanoscale·2026
Same author

Luminescent Copper(I) Complexes with Dual Bridging Ligands and Excitation-Dependent Emission.

Inorganic chemistry·2026
Same author

Directing the Mobility of Guest Molecules in Nanoporous Materials by Linearly Polarized Light.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Confinement-modulated diffusion of alkenes in NU-1000 framework material.

Chemical communications (Cambridge, England)·2025
Same author

Dirac-cone induced metallic conductivity in Cu<sub>3</sub>(HHTP)<sub>2</sub>: high-quality MOF thin films fabricated <i>via</i> ML-driven robotic synthesis.

Materials horizons·2025
Same author

Photoreactivity of Norrish Type Photoinitiators for 3D Laser Printing via First Principles Calculations.

Macromolecular rapid communications·2025

Related Experiment Video

Updated: Apr 23, 2026

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.3K

SLIM: an improved generalized Born implicit membrane model.

Julia Setzler1, Carolin Seith, Martin Brieg

  • 1Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), P.O. Box 3640, 76021, Karlsruhe, Germany.

Journal of Computational Chemistry
|September 23, 2014
PubMed
Summary

A new method (SLIM) accurately models complex membrane environments using generalized Born (GB) models. This computational approach improves implicit membrane models by capturing key electrostatic features, aligning with Poisson-Boltzmann (PB) electrostatics.

Keywords:
Monte Carlogeneralized Bornimplicit membraneproteins

More Related Videos

Automated Lipid Bilayer Membrane Formation Using a Polydimethylsiloxane Thin Film
08:23

Automated Lipid Bilayer Membrane Formation Using a Polydimethylsiloxane Thin Film

Published on: July 10, 2016

18.1K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

2.3K

Related Experiment Videos

Last Updated: Apr 23, 2026

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.3K
Automated Lipid Bilayer Membrane Formation Using a Polydimethylsiloxane Thin Film
08:23

Automated Lipid Bilayer Membrane Formation Using a Polydimethylsiloxane Thin Film

Published on: July 10, 2016

18.1K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

2.3K

Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Biophysics

Background:

  • Implicit continuum models represent membranes as heterogeneous dielectric environments.
  • Accurate treatment of these environments in generalized Born (GB) models is computationally challenging.
  • Existing GB models struggle to reproduce Poisson-Boltzmann (PB) electrostatics for multiple dielectric regions.

Purpose of the Study:

  • To develop a novel scheme for treating multiple dielectric regions in implicit GB membrane models.
  • To improve the accuracy of implicit membrane models in capturing electrostatic features.
  • To enable qualitatively correct implicit membrane models that align with PB electrostatics.

Main Methods:

  • Proposed a novel scheme (SLIM) to decompose multi-dielectric environments into sums of two-dielectric environments.
  • Applied established GB methods to these simpler, decomposed environments.
  • Validated the approach through simulations of three membrane proteins.

Main Results:

  • The SLIM scheme successfully captures qualitative features of PB electrostatics absent in previous models.
  • Simulations demonstrated the model's ability to reproduce known protein properties.
  • Results showed agreement with experimental and other computational studies.

Conclusions:

  • The SLIM method offers a significant advancement for implicit GB-based membrane modeling.
  • This approach provides a computationally efficient and accurate way to study membrane protein electrostatics.
  • The model enhances the reliability of implicit membrane simulations for biophysical research.