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dc.contributor.authorWelsh, Ivan
dc.date.accessioned2018-03-21T01:27:42Z
dc.date.available2018-03-21T01:27:42Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10179/12987
dc.description.abstractMolecular dynamics simulations provide a means to investigate the spatial and temporal evolution of systems of molecules at atomic resolution. Force fields are used to describe the interactions between atoms contained within the system. A number of such force fields have been developed over the years, with a focus on force fields for use in simulations of biochemical systems, in particular, protein systems. This thesis is primarily focused on extending the range of systems that can be simulated through providing means for automated generation of force field parameters for large novel molecules. One component of existing force fields that is generally poorly parameterised are the dihedral terms. In combination with the non-bonded terms, the dihedral terms are used to describe the rotational energy profile about bonds, and have a large influence on the conformational properties of a simulated system. A new method for the determination of dihedral parameters is developed, utilising high level quantum mechanical calculations. With the use of local elevation molecular dynamics simulations, this method is applied to the case of protein backbone dihedrals within the GROMOS force field. When one desires to simulate the interaction of a novel molecule with some biochemical system, the novel molecule must be parameterised in a manner that is compatible with the force field used to describe the biochemical system. However, doing so is a slow, tedious, and error prone process, especially when the novel molecule is large. To combat this, a new algorithm, known as CherryPicker, was developed. CherryPicker is a graph based algorithm which enables rapid parameterisation of large molecules through fragment comparison with a library of previously parameterised small molecules. The algorithm design is discussed and tested on a few simple test cases in part II. Part III steps away from the parameterisation focus of this thesis and looks at the simulation of naphthalimide monolayers. Naphthalimides have applications in sensing environments as they have absorption and fluorescence emission spectra lying within the UV and visible regions of light. With a long chain alkane substituted at the N-imide site, they become amphiphilic and can form monolayers on the surface of water, and can be transferred to a solid substrate when at a desired compression level. Molecular dynamics simulations can be used to provide insight into the formation of compressed monolayer phase. Here, the effect of different ensembles, namely NVT, NPT, and NgT are investigated for use in simulating a naphthalimide monolayer.en_US
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectMolecular dynamicsen_US
dc.subjectComputer simulationen_US
dc.subjectMonomolecular filmsen_US
dc.subjectResearch Subject Categories::NATURAL SCIENCES::Chemistry::Physical chemistry::Kineticsen_US
dc.titleOn using automated algorithms to parameterise molecules for molecular dynamics simulations and investigating suitable ensembles for the simulation of naphthalimide monolayers : a thesis submitted to Massey University in Albany, Auckland in fulfilment of the requirements for the degree of Doctor of Philosophy in Chemistry, Massey University, Aucklanden_US
dc.typeThesisen_US
thesis.degree.disciplineChemistryen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophy (PhD)en_US


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