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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

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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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Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
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Numerical Poisson-Boltzmann Model for Continuum Membrane Systems.

Wesley M Botello-Smith1, Xingping Liu, Qin Cai

  • 1Chemical Physics and Mateiral Physics Graduate Program, University of California, Irvine, CA, 92697 ; Department of Chemistry, University of California, Irvine, CA, 92697 ; Department of Molecular Biology and Biochemistry, University of California, Irvine, CA, 92697.

Chemical Physics Letters
|February 27, 2013
PubMed
Summary
This summary is machine-generated.

Researchers developed a new computational model for membrane proteins, crucial for drug design. This model improves predictions of how drugs bind to proteins, enhancing rational drug discovery efforts.

Keywords:
Poisson-Boltzmanncontinuum membrane modelimplicit solvationmembrane proteins

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Membrane proteins are key targets in rational drug design.
  • Accurate computational models are needed to study their function.
  • Existing models face challenges in simulating membrane environments.

Purpose of the Study:

  • To develop a continuum membrane model for computational research.
  • To enhance predictions of protein-ligand binding affinity and docking poses.
  • To provide a foundation for advanced solvation models.

Main Methods:

  • Utilized a level set formulation within the numerical Poisson-Boltzmann framework.
  • Integrated the model into the AMBER molecular mechanics suite.
  • Adapted two numerical solvers for periodic systems to minimize edge effects.

Main Results:

  • Validated the model on systems from small organic molecules to proteins up to 200 residues.
  • Demonstrated good numerical properties for the developed continuum membrane model.
  • Successfully applied the model to predict protein-ligand binding and docking.

Conclusions:

  • The developed model provides a robust framework for studying membrane proteins.
  • It lays the groundwork for future sophisticated models with advanced dielectric and solvation treatments.
  • This advancement is significant for rational drug design and computational biophysics.