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Quantitative Bioscience at the University of Tennessee

Computational Systems Biology

Systems Bio image.

Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of biological systems, including cellular subsystems, such as the networks of metabolites and enzymes which comprise metabolism, signal transduction pathways and gene regulatory networks, to both analyze and visualize the complex connections of these cellular processes. Computational systems biology aims to understand whole systems, from cells to organs to individuals to ecosystems, both in terms of their component parts and their emergent behaviors. Such diverse systems can all be studied and understood using cutting-edge modeling, analytical and numerical techniques, computer simulations, statistics, informatics, and data analysis of biological systems.

Researcher Department Research Interests
S. Abel photo. Steve Abel
Chemical and Biomolecular Engineering Computational cell biology and immunology, theory and simulation of soft biological materials, membrane and polymer biophysics, systems biology
S. Emrich photo. Scott Emrich
Electrical Engineering & Computer Science Genome-focused bioinformatics, high-throughput and parallel computing, life science applications
T. Hong. Tian Hong
Biochemistry and Cellular & Molecular Biology Computational systems biology
RP McCord. Rachel Patton McCord
Biochemistry & Cellular and Molecular Biology 3D genome structure and the biophysics of cell migration
 photo. Dan Roberts
Biochemistry & Cellular and Molecular Biology Biochemistry and biophysics of plant membrane transporters/channels, calcium regulatory proteins
 photo. Elena Shpak
Biochemistry & Cellular and Molecular Biology Plant growth and development, signal transduction in Arabidopsis
M. Simpson. Mike Simpson
Materials Science and Engineering; Center for Nanophase Materials Sciences, ORNL Nanobioscience, nanobiotechnology
J. Smith. Jeremy Smith
Governor's Chair for Molecular Biophysics; Biochemistry & Cellular and Molecular Biology Computational molecular biophysics, supercomputing, neutrons, drug design. Director, Center for Molecular Biophysics, ORNL
X. Zhao. Xiaopeng Zhao
Mechanical, Aerospace, and Biomedical Engineering Biommedical signal processing, medical informatics, dynamics and control, computational biology

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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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