TY - JOUR
T1 - Computer modeling in biotechnology
T2 - A partner in development
AU - Aksimentiev, Aleksei
AU - Brunner, Robert Kraemer
AU - Cohen, Jordi
AU - Comer, Jeffrey
AU - Cruz-Chu, Eduardo
AU - Hardy, David
AU - Rajan, Aruna
AU - Shih, Amy
AU - Sigalov, Grigori
AU - Yin, Ying
AU - Schulten, Klaus
PY - 2008
Y1 - 2008
N2 - Computational modeling can be a useful partner in biotechnology, in particular, in nanodevice engineering. Such modeling guides development through nanoscale views of biomolecules and devices not available through experimental imaging methods. We illustrate the role of computational modeling, mainly of molecular dynamics, through four case studies: development of silicon bionanodevices for single molecule electrical recording, development of carbon nano-tube-biomolecular systems as in vivo sensors, development of lipoprotein nanodiscs for assays of single membrane proteins, and engineering of oxygen tolerance into the enzyme hydrogenase for photosynthetic hydrogen gas production. The four case studies show how molecular dynamics approaches were adapted to the specific technical uses through (i) multi-scale extensions, (ii) fast quantum chemical force field evaluation, (iii) coarse graining, and (iv) novel sampling methods. The adapted molecular dynamics simulations provided key information on device behavior and revealed development opportunities, arguing that the "computational microscope" is an indispensable nanoengineering tool.
AB - Computational modeling can be a useful partner in biotechnology, in particular, in nanodevice engineering. Such modeling guides development through nanoscale views of biomolecules and devices not available through experimental imaging methods. We illustrate the role of computational modeling, mainly of molecular dynamics, through four case studies: development of silicon bionanodevices for single molecule electrical recording, development of carbon nano-tube-biomolecular systems as in vivo sensors, development of lipoprotein nanodiscs for assays of single membrane proteins, and engineering of oxygen tolerance into the enzyme hydrogenase for photosynthetic hydrogen gas production. The four case studies show how molecular dynamics approaches were adapted to the specific technical uses through (i) multi-scale extensions, (ii) fast quantum chemical force field evaluation, (iii) coarse graining, and (iv) novel sampling methods. The adapted molecular dynamics simulations provided key information on device behavior and revealed development opportunities, arguing that the "computational microscope" is an indispensable nanoengineering tool.
KW - Biosensors
KW - Carbon nanotubes
KW - Coarse-grained modeling
KW - DNA sequencing
KW - Empirical force field
KW - High-density lipoprotein
KW - High-throughput simulations
KW - Hydrogenase
KW - Molecular dynamics
KW - Multiscale modeling
KW - Nanodisc
KW - Nanopore
KW - Oxygen migration pathways
KW - Polarization
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UR - http://www.scopus.com/inward/citedby.url?scp=58149292269&partnerID=8YFLogxK
U2 - 10.1007/978-1-59745-480-3_11
DO - 10.1007/978-1-59745-480-3_11
M3 - Article
C2 - 19031067
AN - SCOPUS:58149292269
SN - 1064-3745
VL - 474
SP - 181
EP - 234
JO - Methods in Molecular Biology
JF - Methods in Molecular Biology
ER -