Marina G. Guenza

Affiliations: 
Department of Physics University of Oregon, Eugene, OR, United States 
Area:
General Physics, Physical Chemistry
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"Marina Guenza"
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Parents

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Angelo Perico grad student
Karl F. Freed post-doc (Chemistry Tree)
Kenneth S. Schweizer post-doc (Chemistry Tree)
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Publications

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Beyerle ER, Dinpajooh M, Ji H, et al. (2021) Dinucleotides as simple models of the base stacking-unstacking component of DNA 'breathing' mechanisms. Nucleic Acids Research
Beyerle ER, Guenza MG. (2019) Kinetics analysis of ubiquitin local fluctuations with Markov state modeling of the LE4PD normal modes. The Journal of Chemical Physics. 151: 164119
Dinpajooh M, Guenza MG. (2019) Correction to "On the Density Dependence of the Integral Equation Coarse-Graining Effective Potential". The Journal of Physical Chemistry. B. 123: 2466
Dinpajooh M, Guenza MG. (2019) Can pure polymer liquids be represented at two different resolutions simultaneously? The Journal of Chemical Physics. 151: 061102
Guenza MG, Dinpajooh M, McCarty J, et al. (2018) Accuracy, Transferability, and Efficiency of Coarse-Grained Models of Molecular Liquids. The Journal of Physical Chemistry. B. 122: 10257-10278
Dinpajooh M, Guenza MG. (2018) Coarse-graining simulation approaches for polymer melts: the effect of potential range on computational efficiency. Soft Matter
Beyerle ER, Guenza M. (2018) A Comparison of Collective Coordinates for Analyzing Protein Dynamics Biophysical Journal. 114: 232a-233a
Dinpajooh M, Guenza MG. (2017) On the Density Dependence of the Integral Equation Coarse-Graining Effective Potential. The Journal of Physical Chemistry. B
Copperman J, Dinpajooh M, Beyerle ER, et al. (2017) Universality and Specificity in Protein Fluctuation Dynamics. Physical Review Letters. 119: 158101
Romano PG, Guenza MG. (2017) GRadient Adaptive Decomposition (GRAD) Method: Optimized Refinement Along Macrostate Borders in Markov State Models. Journal of Chemical Information and Modeling. 57: 2729-2740
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