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Fluid Mosaic Model01:19

Fluid Mosaic Model

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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...
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Membrane Fluidity01:26

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Membrane fluidity is explained by the fluid mosaic model of the cell membrane, which describes the plasma membrane structure as a mosaic of components—including phospholipids, cholesterol, proteins, and carbohydrates—that gives the membrane a fluid character.
Mosaic nature of the membrane
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Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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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.
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Mechanisms of Membrane-bending01:15

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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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Biological membranes show uneven distribution of different types of lipids in the inner and outer layers, resulting in transverse asymmetric membranes. The treatment of the erythrocyte membrane with the enzyme phospholipase confirmed the asymmetric nature of the lipid bilayer. The enzyme hydrolyzes lipids into fatty acids and hydrophilic groups. The phospholipase acts only on the outer layer of the membrane, while the inner layer remains intact. The phospholipase treatment resulted in 80%...
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Predicting Membrane-Active Peptide Dynamics in Fluidic Lipid Membranes.

Charles H Chen1, Karen Pepper2, Jakob P Ulmschneider3

  • 1Synthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA. chenchar@mit.edu.

Methods in Molecular Biology (Clifton, N.J.)
|March 17, 2022
PubMed
Summary

Molecular dynamics (MD) simulations offer a powerful computational microscope to study peptide-lipid membrane interactions. Experimentally validated MD simulations enable the rational design of peptides with specific functions for therapeutic applications.

Keywords:
Membrane-active peptidesMolecular dynamics simulationsPore formationProtein designProtein folding

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Area of Science:

  • Biophysics
  • Computational Biology
  • Molecular Dynamics

Background:

  • Studying peptide-lipid membrane interactions is crucial for developing antimicrobial peptides and targeted cancer therapies.
  • Designing biophysical experiments for flexible peptides and fluidic membranes presents significant challenges.
  • All-atom molecular dynamics (MD) simulations have emerged as a valuable tool to investigate these interactions.

Purpose of the Study:

  • To describe the utilization of MD simulations for predicting and studying peptide dynamics.
  • To outline methods for validating MD simulations using experimental techniques.
  • To highlight the potential of validated MD simulations in peptide design.

Main Methods:

  • All-atom molecular dynamics (MD) simulations were employed as a 'computational microscope'.
  • MD simulations were used to predict and study peptide dynamics at the molecular level.
  • Experimental validation techniques including circular dichroism, fluorescent probes, membrane leakage assays, electrical impedance, and isothermal titration calorimetry were utilized.

Main Results:

  • MD simulations provide insights into molecular interactions and mechanisms of membrane-active peptides.
  • Experimental validation confirms the accuracy and reliability of MD simulation predictions.
  • Validated MD simulations facilitate a new approach to designing peptides from sequence and structure to function.

Conclusions:

  • MD simulations, when experimentally validated, offer a robust method for studying peptide-lipid membrane interactions.
  • This approach accelerates the development of novel peptides for therapeutic applications, including antimicrobial and anticancer agents.
  • Validated MD simulations pave the way for rational peptide design, linking molecular properties to desired biological functions.