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Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
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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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Enzyme kinetics studies the rates of biochemical reactions. Scientists monitor the reaction rates for a particular enzymatic reaction at various substrate concentrations. Additional trials with inhibitors or other molecules that affect the reaction rate may also be performed.
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Introduction to Membrane Proteins01:16

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The cell membrane, or plasma membrane, is an ever-changing landscape. It is described as a fluid mosaic where various macromolecules are embedded in the phospholipid bilayer. Among the macromolecules are proteins. The protein content varies across cell types. For example, mitochondrial inner membranes contain ~76% protein content, while myelin contains ~18% protein content. Individual cells contain many types of membrane proteins—red blood cells contain over 50—and different cell...
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Introductory Tutorials for Simulating Protein Dynamics with GROMACS.

Justin A Lemkul1,2

  • 1Department of Biochemistry, Virginia Tech, 111 Engel Hall, 340 West Campus Dr., Blacksburg Virginia 24061, United States.

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|September 21, 2024
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Summary
This summary is machine-generated.

Learn essential molecular dynamics (MD) simulation skills with GROMACS. This guide offers introductory tutorials for protein simulations, complex setups, and unfolding studies, empowering new users.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Biochemistry

Background:

  • Atomistic molecular dynamics (MD) simulations are crucial for studying biomolecular structure, dynamics, and energetics.
  • Advancements in software and hardware allow MD simulations to reach biologically relevant timescales.
  • There is a growing demand for accessible training in performing MD simulations.

Purpose of the Study:

  • To provide introductory tutorials for performing molecular dynamics (MD) simulations using the GROMACS package.
  • To equip new users with foundational knowledge and practical skills in biomolecular simulation.
  • To facilitate independent design and execution of MD simulations by researchers.

Main Methods:

  • Detailed step-by-step tutorials for three distinct simulation exercises.
  • Demonstration of essential GROMACS features and input parameter settings.
  • Focus on practical workflows for simulating single proteins, protein complexes, and polypeptide unfolding.

Main Results:

  • Successful execution of introductory MD simulations for proteins and complexes.
  • Demonstration of umbrella sampling techniques for modeling protein unfolding.
  • Clear illustration of key input parameters and simulation setup procedures.

Conclusions:

  • These tutorials provide a foundational understanding of MD simulation workflows in GROMACS.
  • New users can gain practical experience in setting up and running various types of biomolecular simulations.
  • The presented exercises serve as a basis for developing more complex and customized simulation strategies.