Molecular simulation methods for conformational searches and diffusivity

Gaalswyk, Kari (2016) Molecular simulation methods for conformational searches and diffusivity. Masters thesis, Memorial University of Newfoundland.

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Abstract

Computer modeling is a powerful technique to provide explanations and make predictions in drug development using computational methods. Molecular conformations affect drug binding and biological activity, so the preferred conformation of a drug molecule plays an important role in design and synthesis of new drugs. We have developed a conformational search method to automatically identify low energy conformations of drug molecules in an explicit solvent. This method uses replica-exchange molecular dynamics and clustering analysis to efficiently sample conformational space and identify the most probable conformations. The method produces distinct primary conformations for a molecule in explicit solvent, implicit solvent, and gas phase. Drug development is also concerned with membrane permeation. Many drugs have intracellular targets, and the rate and mechanism of membrane permeation affects their biological behavior. Transmembrane diffusion coefficients can be calculated using Generalized Langevin methods. We have compared the velocity autocorrelation and the position autocorrelation methods using molecular dynamics simulations of various solutes in homogeneous liquids, and of a water molecule harmonically restrained at various points within a lipid bilayer. Our results indicate that known limitations when using the position autocorrelation function can potentially be resolved using the velocity autocorrelation function. The effects of the spring constant and the choice of thermostat on both methods are also discussed.

Item Type: Thesis (Masters)
URI: http://research.library.mun.ca/id/eprint/12412
Item ID: 12412
Additional Information: Includes bibliographical references.
Keywords: Molecular Dynamics, Conformational Search, Diffusivity, Computational, Simulation
Department(s): Science, Faculty of > Chemistry
Date: August 2016
Date Type: Submission
Library of Congress Subject Heading: Isomerism--Computer simulation; Molecular pharmacology--Computer simulation; Molecular dynamics--Computer simulation

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