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Molecular dynamic simulation of bio-molecular dynamics, folding, and assembly

Posted on:2016-07-10Degree:Ph.DType:Thesis
University:Wake Forest UniversityCandidate:Li, RongzhongFull Text:PDF
GTID:2470390017476417Subject:Biophysics
Abstract/Summary:
A major goal in molecular biophysics is to understand how biomolecules fold into specific structures to carry out cellular processes to result in a functioning organism. Computational molecular dynamics (MD) simulations can characterize biomolecules at a microscopic level. These indispensable tools use classical mechanical approaches to describe biomolecular dynamics, folding, and binding mechanisms. Although there are many different types of MD simulations, I will focus on two classes of approaches: empirical force field and coarse-grained native structure based ones. In the present thesis, I will discuss recent MD simulation studies of RNA, protein-RNA, and protein-nanoparticle interactions with direct comparisons to experiments whenever possible to validate our approaches. Specifically, I will present the following three projects:;1) Coarse-grained and empirical force field MD simulations of tRNA folding mechanisms.;2) Preliminary development of a coarse-grained protein-RNA MD simulation approach based on well-established protein and RNA folding models.;3) A novel GPU-optimized coarse-grained protein-nanoparticle MD simulation approach for characterizing protein corona formation.
Keywords/Search Tags:MD simulation, Folding, Molecular, Dynamics, Coarse-grained
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