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Modelling and predicting the free energy and solubility behavior of Lovastatin and Simvastatin using molecular simulations

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Title
Modelling and predicting the free energy and solubility behavior of Lovastatin and Simvastatin using molecular simulations
Name (type = personal)
NamePart (type = family)
Casteblanco
NamePart (type = given)
Fabian F.
DisplayForm
Fabian Casteblanco
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Roth
NamePart (type = given)
Charles M
DisplayForm
Charles M Roth
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Chiew
NamePart (type = given)
Yee C
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Yee C Chiew
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Shapley
NamePart (type = given)
Nina
DisplayForm
Nina Shapley
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Dutt
NamePart (type = given)
Meenakshi
DisplayForm
Meenakshi Dutt
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2013
DateOther (qualifier = exact); (type = degree)
2013-10
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
In this master thesis, exploration is done in employing molecular modelling methods to predict drug solubility in liquid solvents, compare the simulation results with experimental data to validate the molecular force field model, and explain certain solubility behaviour of the statin compounds. Experimental data shows that lovastatin solubility increases in a family of alkanols and reaches a peak as the non-polarity nature of the solvent increases from water (polar) to 1-butanol (nonpolar), and the trend reverses from 1-pentanol to 1-octanol. This study investigates this interesting behaviour and provides insight on why this can be occurring. In this study, the CHARMM General Force Field is utilized to model lovastatin and simvastatin in different liquid solvents. The free energy and thermodynamic properties of these systems are calculated using molecular dynamics techniques. Periodic boundary conditions are used with electrostatics treated with Particle-mesh Ewald (PME), using a short-range cutoff of 1.2 nm, while having van der Waals interactions switched off between 1.0 to 1.2 nm. The Bennet Acceptance Ratio (BAR) method is implemented as a means of estimating the Gibbs free energy of decoupling the drug molecule in the system. We report results obtained from two studies. In Study 1, the free energy of de-coupling of a drug molecule in different liquid solvents is computed. These results yield the ratio of the infinitely dilute activity coefficient and solubility of the drug compounds in two different solvents (including water and a family of alcohols up to 1-octanol) The simulation results are observed to predict a peak in the lovastatin solubility in alkanols, with a peak for 1-butanol. The simulated data is analyzed further by calculating the energies between polar and nonpolar groups between the drug and solvent. In Study 2, we employ a specific thermodynamic model that involves mutating the unique methyl group in simvastatin to hydrogen, essentially converting simvastatin to lovastatin in liquid solvents and vacuum. The free energy of mutation can be shown to be related to the activity coefficients of lovastatin and simvastatin in a solvent. Results from Study 1 showed that the simulated lovastatin solubility ratios are in agreement with experimental data in that a solubility peak in 1-butanol is estimated (Fig1). Further analysis of the energy of interactions of the polar and nonpolar groups between the drug and solvent molecules shows that the nonpolar interactions become stronger with increasing alcohol carbon chain length. However, the interactions between the polar functional groups of the drug and solvent appear to reach a peak in strength at 1-butanol and seem to reverse trend (Fig2). The polar and polar interactions contribution to the overall enthalpy thus changes direction and provides a weakening effect after the organic alcohol chain length surpasses that of 1-butanol. Results obtained from Study 2 show that the simulation provides a reasonably adequate prediction of the activity coefficient ratios between the two drugs within the same solvent. In this study, it was shown that CHARMM General Force Field is a reasonably good model for lovastatin, simvastatin and common liquid solvents. Our simulation study was found to give good estimates and capture the behavior of the solubility of lovastatin in liquid solvents. Once the drug solvent mixtures were further analyzed and broken into groups based on polarity, analysis on the energy of interactions provides scientific insights and explanation on why solubility of lovastatin reaches a peak with increasing organic alcohol chain length.
Subject (authority = RUETD)
Topic
Chemical and Biochemical Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_4966
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
ix, 73 p. : ill.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Fabian F. Casteblanco
Subject (authority = ETD-LCSH)
Topic
Drugs--Solubility--Testing
Subject (authority = ETD-LCSH)
Topic
Molecular dynamics
Subject (authority = ETD-LCSH)
Topic
Statins (Cardiovascular agents)
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3N58JDR
Genre (authority = ExL-Esploro)
ETD graduate
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RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Casteblanco
GivenName
Fabian
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2013-08-29 10:30:39
AssociatedEntity
Name
Fabian Casteblanco
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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