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Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

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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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Integrating diffusion maps with umbrella sampling: application to alanine dipeptide.

Andrew L Ferguson1, Athanassios Z Panagiotopoulos, Pablo G Debenedetti

  • 1Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA. aferguso@mit.edu

The Journal of Chemical Physics
|April 12, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces an enhanced diffusion map method for molecular simulations. It improves sampling of high-energy barriers, leading to better free energy landscape characterization in complex molecular systems.

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Area of Science:

  • Computational chemistry
  • Molecular dynamics
  • Statistical mechanics

Background:

  • Nonlinear dimensionality reduction aids molecular dynamics analysis.
  • Inadequate sampling hinders free energy landscape characterization for systems with high free energy barriers.

Purpose of the Study:

  • To adapt diffusion maps for biased umbrella sampling trajectories.
  • To develop a bootstrapped approach for iterative discovery of low-dimensional parametrizations.

Main Methods:

  • Adaptation of diffusion map for umbrella sampling.
  • Bootstrapped iterative approach combining umbrella sampling and diffusion mapping.
  • Application to alanine dipeptide in explicit solvent.

Main Results:

  • Successfully extended diffusion map applicability to biased umbrella sampling.
  • Demonstrated iterative improvement of low-dimensional parametrizations.
  • Provided a robust method for characterizing complex free energy landscapes.

Conclusions:

  • The proposed method enhances sampling of high free energy regions.
  • It enables more accurate global characterization of molecular system free energy landscapes.
  • This technique is valuable for studying complex molecular dynamics and conformational changes.