Inverse Monte Carlo simulation of biomolecular conformation and coarse-grained molecular modeling of chondroitin sulfate conformation, titration, and osmotic pressure

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.

Bibliographic Details
Main Author: Bathe, Mark, 1975-
Other Authors: Alan J. Grodzinsky.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/30327
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author Bathe, Mark, 1975-
author2 Alan J. Grodzinsky.
author_facet Alan J. Grodzinsky.
Bathe, Mark, 1975-
author_sort Bathe, Mark, 1975-
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description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.
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spelling mit-1721.1/303272019-04-11T09:22:24Z Inverse Monte Carlo simulation of biomolecular conformation and coarse-grained molecular modeling of chondroitin sulfate conformation, titration, and osmotic pressure Bathe, Mark, 1975- Alan J. Grodzinsky. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004. Includes bibliographical references. The first part of this thesis is concerned with the solution structure determination problem. Whereas many biomacromolecules, such as proteins, can be adequately characterized by a single conformation in solution, numerous other important molecules (e.g., nucleic acids, carbohydrates, and polypeptides) exhibit conformational isomerism and disorder. For these molecules, the term "structure" does not correspond to a single conformation but rather to an ensemble of conformations. Given a molecular model and experimental data, the goal of the structure determination problem is to solve for an ensemble of conformations that is consistent with the data. Traditional computational procedures such as simulated annealing, however, are not guaranteed to generate a unique ensemble. The computed ensemble is often simply dependent on the user-specific protocol employed to generate it. As an alternative, a numerical method for determining the conformational structure of macromolecules is developed and applied to idealized biomacromolecules in solution. The procedure generates unique, maximum entropy conformational ensembles that reproduce thermodynamic properties of the macromolecule (mean energy and heat capacity) in addition to the target experimental data. As an evaluation of its utility in structure determination, the method is applied to a homopolymer and a heteropolymer model of a three-helix bundle protein. It is demonstrated that the procedure performs successfully at various thermodynamic state points, including the ordered globule, disordered globule, and random coil states. In the second part of this thesis, a molecular model is developed and used to investigate the properties of anionic glycosaminoglycan (GAG) molecules. GAGs are critically important to the structure and biomechanical properties of articular cartilage, an avascular tissue that provides a low-friction, protective lining to the ends of contacting bones during join locomotion. (cont.) The tissue consists predominantly of two types of macromolecules, collagen and aggrecan. Aggrecan consists of a linear protein backbone with a high mass fraction of covalently attached chondroitin sulfate (CS) GAGs, which endow cartilage with its high compressive modulus via osmotic action. During the onset and progression of osteoarthritis, a debilitating joint disease that affects millions in the US alone, the chemical composition of CS (sulfate type, sulfate pattern, and molecular weight) changes, concomitantly with alterations in the biomechanical properties of cartilage. For this reason, it is of primary biological interest to understand the effects of CS chemical composition on its conformation, titration behavior, and osmotic pressure. To enable the investigation of these properties, a coarse-grained model of CS is developed. Systematically derived from an all-atom description, the model enables the atomistic- based simulation of large-scale macromolecular assemblies relevant to cartilage biomechanics. Extensive comparison with experimental data demonstrates that this computationally efficient model is also quantitatively predictive, despite the absence of any adjustable parameters. 4-sulfation of CS is found to significantly increase the intrinsic stiffness of CS, as measured by the characteristic ratio and persistence length in the limit of high ionic strength. Average sulfate density is found to increase CS stiffness at finite ionic strength due to electrostatic interactions that tend to stiffen the chain backbone. Sulfation type and pattern (the statistical distribution of sulfates along a CS chain) are not found to influence the osmotic pressure, which is found to be sensitive primarily to the mean volumetric fixed charge density. by Mark Bathe. Ph.D. 2006-03-24T18:40:31Z 2006-03-24T18:40:31Z 2004 2004 Thesis http://hdl.handle.net/1721.1/30327 61123257 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 170 p. 6693490 bytes 6714621 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Bathe, Mark, 1975-
Inverse Monte Carlo simulation of biomolecular conformation and coarse-grained molecular modeling of chondroitin sulfate conformation, titration, and osmotic pressure
title Inverse Monte Carlo simulation of biomolecular conformation and coarse-grained molecular modeling of chondroitin sulfate conformation, titration, and osmotic pressure
title_full Inverse Monte Carlo simulation of biomolecular conformation and coarse-grained molecular modeling of chondroitin sulfate conformation, titration, and osmotic pressure
title_fullStr Inverse Monte Carlo simulation of biomolecular conformation and coarse-grained molecular modeling of chondroitin sulfate conformation, titration, and osmotic pressure
title_full_unstemmed Inverse Monte Carlo simulation of biomolecular conformation and coarse-grained molecular modeling of chondroitin sulfate conformation, titration, and osmotic pressure
title_short Inverse Monte Carlo simulation of biomolecular conformation and coarse-grained molecular modeling of chondroitin sulfate conformation, titration, and osmotic pressure
title_sort inverse monte carlo simulation of biomolecular conformation and coarse grained molecular modeling of chondroitin sulfate conformation titration and osmotic pressure
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/30327
work_keys_str_mv AT bathemark1975 inversemontecarlosimulationofbiomolecularconformationandcoarsegrainedmolecularmodelingofchondroitinsulfateconformationtitrationandosmoticpressure