Environmental Effects and Oligonucleotide Structure

Abstract

The object of this series of studies was to develop a theoretical account of the observed thermodynamic properties of simple and polyelectrolyte solutions based on molecular simulation, and to gain a structural perspective on the sources of nonideality in these mixtures, leading to the development of workable theoretical models to understand DNA-ligand interactions in aqueous solutions of simple electrolytes. In the concluding year of support, we have focused on the development of Computer Simulations on the counterion atmosphere of DNA using Monte Carlo methods. Canonical ensemble simulations were carried out to obtain a description of the counterion distribution around DNA as a function of variations on the primitive model for interparticle interactions. Grand Canonical Monte Carlo simulations were carried out to study thermodynamic properties for simple and polyelectrolyte solutions. An account of the contravariant behavior of activity coefficient as a function of concentration in simple vs. polyelectrolyte solutions has been obtained. The structure of the ion atmosphere has been examined and provides insight into structuration effects at the onset of the breakdown in Debye Huckle theory. Keywords: DNA; Counterions; Computerized simulation; Monte Carlo methods.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1990
Accession Number
ADA220812

Entities

People

  • David L. Beveridge

Organizations

  • Wesleyan University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aqueous Solutions
  • Chemical Synthesis
  • Chemistry
  • Computer Simulations
  • Contracts
  • Crystal Structure
  • Electrolytes
  • Free Energy
  • Military Research
  • Molecular Dynamics
  • Molecular Mechanics Methods
  • Molecules
  • Monte Carlo Method
  • Nucleic Acids
  • Polyelectrolytes
  • Simulations
  • Thermodynamic Properties

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Modeling and Simulation
  • Polymer Science and Technology