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Related Concept Videos

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.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
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.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
Van der Waals Interactions01:24

Van der Waals Interactions

Atoms and molecules interact with each other through intermolecular forces. These electrostatic forces arise from attractive or repulsive interactions between particles with permanent, partial, or temporary charges. The intermolecular forces between neutral atoms and molecules are ion–dipole, dipole–dipole, and dispersion forces, collectively known as van der Waals forces.Polar molecules have a partial positive charge on one end and a partial negative charge on the other end of the molecule,...
Intermolecular Forces03:13

Intermolecular Forces

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...
Intermolecular Forces03:13

Intermolecular Forces

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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Intermolecular vs Intramolecular Forces

Intermolecular forces (IMF) are electrostatic attractions arising from charge-charge interactions between molecules. The strength of the intermolecular force is influenced by the distance of separation between molecules. The forces significantly affect the interactions in solids and liquids, where the molecules are close together. In gases, IMFs become important only under high-pressure conditions (due to the proximity of gas molecules). Intermolecular forces dictate the physical properties of...

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Efficient nonbonded interactions for molecular dynamics on a graphics processing unit.

Peter Eastman1, Vijay S Pande

  • 1Department of Bioengineering, Stanford University, Stanford, CA 94305, USA. peastman@stanford.edu

Journal of Computational Chemistry
|October 23, 2009
PubMed
Summary
This summary is machine-generated.

A new algorithm accelerates molecular simulations by efficiently computing nonbonded interactions on graphics processing units (GPUs). This method, integrated into OpenMM, shows linear performance scaling and outperforms existing algorithms for various systems.

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Area of Science:

  • Computational chemistry
  • Molecular dynamics
  • High-performance computing

Background:

  • Molecular simulations are crucial for understanding biological systems.
  • Efficient computation of nonbonded interactions is a key challenge.
  • Existing algorithms face performance limitations with increasing system size.

Purpose of the Study:

  • To develop and implement a novel algorithm for computing nonbonded interactions with cutoffs on graphics processing units (GPUs).
  • To integrate this algorithm into the OpenMM molecular simulation library.
  • To evaluate the performance and scalability of the new algorithm across diverse molecular systems.

Main Methods:

  • Algorithm development for nonbonded interaction computation using cutoffs.
  • Implementation within the OpenMM software library.
  • Benchmarking on systems including water molecules, proteins in explicit/implicit solvent, and lipid bilayers.

Main Results:

  • The algorithm demonstrates linear performance scaling with the number of atoms.
  • Significant speedup compared to previously published algorithms was observed.
  • Consistent performance across various system types, from small molecules to complex biomolecular assemblies.

Conclusions:

  • The developed GPU-accelerated algorithm offers a substantial performance improvement for molecular simulations.
  • Its linear scalability makes it suitable for large-scale molecular dynamics studies.
  • OpenMM now provides a more efficient tool for computational biophysics and chemistry research.