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Potentials of Mean Force as a Starting Point for Understanding Biomolecular Interactions.

dc.contributor.authorMills, K. Mariaen_US
dc.date.accessioned2010-06-03T15:41:51Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2010-06-03T15:41:51Z
dc.date.issued2010en_US
dc.date.submitted2010en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/75883
dc.description.abstractComputer simulations on the molecular dynamics of biological molecules can be used to explore the behavior of large molecules with a level of detail not possible in experiments. It is necessary to be cautious, however, when designing and interpreting such simulations, as the techniques commonly used to improve efficiency of simulations can lead to unrealistic results. The work presented in this dissertation explores ways in which the accuracy of molecular dynamics simulations can be both improved and validated by experimental data, primarily through the use of potentials of mean force (PMFs). Experimental input was used in the development of an umbrella sampling protocol by fitting restraining potentials to an experimental PMF. The method was tested on a model peptide using a ”guiding” PMF from simulations and then validated using an experimental PMF from force manipulation studies on a mechanical protein. The results show that the experimentally guided umbrella sampling replicates the appropriate pathways for both systems, whereas naively chosen potentials fail to do so. Experimental findings were also used in the design of steered molecular dynamics simulations on the β domain of streptokinase. High-temperature simulations were used to smooth the energy surface and enable the system to explore alternate unfolding pathways. The results show three distinct pathways, in agreement with experimental evidence of three types of behavior under force. The simulations reveal that the source of the differences are hydrophobic interaction in the core of the protein. Multi-dimensional PMFs were calculated to describe these pathways energetically. All-atom simulations were also used to study a different type of system, the interactions between DNA and a Polyamidoamine dendrimer. Both the dendrimer and DNA were found to deform substantially upon binding. While the interactions were shown to be driven primarily by electrostatics, we also find that ordered waters extend the interaction distance beyond the range of direct electrostatics for one orientation of the dendrimer. These water effects contribute almost a third of the total interaction free energy of the system. PMFs calculated in these simulations were used to calculate force extension curves which agree with experiments on DNA condensed by dendrimers.en_US
dc.format.extent11703258 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectMolecular Dynamicsen_US
dc.subjectPotentials of Mean Forceen_US
dc.subjectBiophysicsen_US
dc.subjectDNA-dendrimer Interactionsen_US
dc.subjectProtein Unfoldingen_US
dc.titlePotentials of Mean Force as a Starting Point for Understanding Biomolecular Interactions.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineBiophysicsen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberAndricioaei, Ioanen_US
dc.contributor.committeememberBanaszak Holl, Mark M.en_US
dc.contributor.committeememberCrippen, Gordon M.en_US
dc.contributor.committeememberOgilvie, Jennifer P.en_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/75883/1/pisaster_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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