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Related Concept Videos

Fluid Mosaic Model01:19

Fluid Mosaic Model

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 with the analogy of...
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

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.
Mechanisms of Membrane-bending01:15

Mechanisms of Membrane-bending

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.
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
Mechanisms of Membrane Domain Formation00:59

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Different physical properties of lipids and proteins allow them to localize and form distinct islands or domains in the membrane. Some membrane domains are formed due to protein-protein interactions, whereas others are formed due to the presence of specific lipids such as sphingolipids and sterols—for example, large proteins, such as bacteriorhodopsin, aggregate and create distinct domains.
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Multi-pass Transmembrane Proteins and β-barrels

In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
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Related Experiment Video

Updated: May 14, 2026

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
07:31

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies

Published on: September 1, 2023

Coupled multi-component systems: A simple membrane model.

K Forinash

    Journal of Biological Physics
    |January 25, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study explores vibrational modes in coupled lattices, revealing how nonlinear coupling affects system dynamics. These findings offer insights into flexible structures interacting with discrete supports, like cell membranes.

    Keywords:
    Breather modesdiscrete systemsintrinsic localized modesmembrane dynamicsnonlinear systems

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    Area of Science:

    • Physics
    • Materials Science
    • Biophysics

    Background:

    • Investigating vibrational modes in coupled physical systems is crucial for understanding complex dynamics.
    • Nonlinear interactions between continuous and discrete systems present unique challenges and phenomena.

    Purpose of the Study:

    • To examine the existence, stability, and interaction of linear and nonlinear vibrational modes.
    • To analyze the impact of nonlinear coupling between a near-continuum system and a discrete system.

    Main Methods:

    • Numerical modeling of two coupled, one-dimensional lattices with unequal masses.
    • Simulation of nonlinear coupling between a continuum and a discrete system.

    Main Results:

    • Initial results demonstrate the behavior of linear and nonlinear vibrational modes.
    • The study identifies how nonlinear coupling influences these modes in asymmetric lattice systems.

    Conclusions:

    • The findings provide a foundational understanding for modeling flexible sheets coupled to discrete supports.
    • This research has implications for systems like biological cell membranes interacting with protein networks.