@article {67,
	title = {The role of molecular modeling in bionanotechnology},
	journal = {Phys Biol},
	volume = {3},
	year = {2006},
	month = {2006 Mar},
	pages = {S40-53},
	abstract = {<p>Molecular modeling is advocated here as a key methodology for research and development in bionanotechnology. Molecular modeling provides nanoscale images at atomic and even electronic resolution, predicts the nanoscale interaction of unfamiliar combinations of biological and inorganic materials, and evaluates strategies for redesigning biopolymers for nanotechnological uses. The methodology is illustrated in this paper through reviewing three case studies. The first one involves the use of single-walled carbon nanotubes as biomedical sensors where a computationally efficient, yet accurate, description of the influence of biomolecules on nanotube electronic properties through nanotube-biomolecule interactions was developed; this development furnishes the ability to test nanotube electronic properties in realistic biological environments. The second case study involves the use of nanopores manufactured into electronic nanodevices based on silicon compounds for single molecule electrical recording, in particular, for DNA sequencing. Here, modeling combining classical molecular dynamics, material science and device physics, described the interaction of biopolymers, e.g., DNA, with silicon nitrate and silicon oxide pores, furnished accurate dynamic images of pore translocation processes, and predicted signals. The third case study involves the development of nanoscale lipid bilayers for the study of embedded membrane proteins and cholesterol. Molecular modeling tested scaffold proteins, redesigned apolipoproteins found in mammalian plasma that hold the discoidal membranes in the proper shape, and predicted the assembly as well as final structure of the nanodiscs. In entirely new technological areas such as bionanotechnology, qualitative concepts, pictures and suggestions are sorely needed; these three case studies document that molecular modeling can serve a critical role in this respect, even though it may still fall short on quantitative precision.</p>},
	keywords = {Biosensing Techniques, Chemical Engineering, DNA, Lipid Bilayers, Membrane Potentials, Models, Molecular, Nanotechnology, Nanotubes, Carbon, Sequence Analysis, Silicon},
	issn = {1478-3975},
	doi = {10.1088/1478-3975/3/1/S05},
	author = {Lu, Deyu and Aleksei Aksimentiev and Amy Y Shih and Eduardo Cruz-Ch{\'u} and Freddolino, Peter L and Arkhipov, Anton and Klaus Schulten}
}
