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Understanding the self-assembly of nanoscale biological systems through computational modeling
Sullivan, Daniel Ryan
Sullivan, Daniel Ryan
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2012
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2012
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There has recently been much interest in exploiting or guiding the self-assembling of biological systems for fabricating functional nanoscale devices or components that requiring precise placement and alignment of components. Biological materials such as proteins, DNA, and some plant virus components are especially suited to this task due to their well- understood chemistry, interactions with inorganic components, and size-commensurability with templates designed for practical bionanotechnological applications. Due to experimental limitations on precisely tracking and controlling the assembly processes of these nanoscale systems, a fundamental understanding of the physical mechanisms governing nanobiological organization onto surfaces and templates has not yet been developed. This thesis aims to use classical molecular dynamics to simulate the organization behaviour of two unique nanobiological systems (viruses and collagen assembled on surfaces) and provide insight into the key processes and conditions driving organization.
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