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Related Concept Videos

Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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.
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X-ray Diffraction of Biological Samples

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Protein Folding01:25

Protein Folding

Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
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Protein Folding01:22

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Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Published on: December 25, 2021

MSMExplorer: visualizing Markov state models for biomolecule folding simulations.

Bryce Cronkite-Ratcliff1, Vijay Pande

  • 1Department of Computer Science, Stanford University, Stanford, CA 94305, USA.

Bioinformatics (Oxford, England)
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

Markov state models (MSMs) are powerful for biomolecule folding dynamics. MSMExplorer is a visualization tool designed to enhance the study and accessibility of this computational science.

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Area of Science:

  • Computational biology
  • Biophysics
  • Molecular dynamics

Background:

  • Markov state models (MSMs) are increasingly utilized for analyzing complex biomolecular systems.
  • Understanding protein folding pathways computationally is crucial in molecular dynamics.

Purpose of the Study:

  • To introduce MSMExplorer, a dedicated visualization application for Markov state models.
  • To improve the efficiency and accessibility of MSM-based research in biomolecular simulations.

Main Methods:

  • Development of a user-friendly visualization application, MSMExplorer.
  • Focus on visualizing complex data generated from biomolecule folding simulations.

Main Results:

  • MSMExplorer provides enhanced visualization capabilities for Markov state models.
  • The application aims to make complex folding dynamics more interpretable.

Conclusions:

  • Markov state models are a significant advancement in studying biomolecule folding.
  • MSMExplorer enhances the utility and reach of MSM science through effective visualization.