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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.
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
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Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen bonds, and dispersion...
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Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen bonds, and dispersion...
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Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
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The probe is regarded as the heart of any AFM setup and comprises the...

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The MARTINI force field: coarse grained model for biomolecular simulations.

Siewert J Marrink1, H Jelger Risselada, Serge Yefimov

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The enhanced MARTINI force field improves coarse-grained lipid simulations by systematically reproducing partitioning free energies. This advanced model accurately simulates lipid bilayers and cholesterol interactions, advancing molecular modeling.

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Area of Science:

  • Computational chemistry
  • Molecular dynamics
  • Biophysics

Background:

  • Coarse-grained (CG) models simplify complex molecular systems for large-scale simulations.
  • Previous CG lipid models required further refinement for accurate bilayer and sterol simulations.
  • Systematic parametrization is crucial for developing reliable molecular force fields.

Purpose of the Study:

  • To introduce an improved and extended coarse-grained lipid model, the MARTINI force field.
  • To enhance the model's ability to reproduce partitioning free energies of chemical compounds.
  • To enable accurate simulations of lipid bilayers, including planar compounds like sterols.

Main Methods:

  • Systematic parametrization based on partitioning free energies between polar and apolar phases.
  • Increased interaction levels for coarse-grained sites compared to previous models.
  • Application to lipid bilayers and bilayer/cholesterol systems at various concentrations.

Main Results:

  • The MARTINI force field demonstrates improved bilayer stress profiles and reduced pore formation.
  • The extended model successfully simulates planar compounds, including sterols.
  • Simulations of cholesterol in bilayers show the characteristic condensation effect, consistent with all-atom results.

Conclusions:

  • The enhanced MARTINI force field offers improved accuracy and broader applicability for CG lipid simulations.
  • The model's ability to reproduce experimental observations, like the cholesterol condensation effect, validates its performance.
  • This development facilitates more efficient and reliable molecular modeling of complex lipid systems.