D. J. K. Swainsbury

University of Sheffield - Department of Molecular Biology and Biotechnology

United Kingdom

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Scholarly Papers (1)

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Atoms to Phenotypes: Molecular Design Principles of Cellular Energy Metabolism

Number of pages: 76 Posted: 05 Apr 2019
Arizona State University (ASU) - School of Molecular Sciences, University of Illinois at Urbana-Champaign - Department of Physics, University of Calgary - Centre for Molecular Simulation, University of Sheffield - Department of Molecular Biology and Biotechnology, University of Illinois at Urbana-Champaign - Beckman Institute for Advanced Science and Technology, Jacobs University Bremen - Department of Physics and Earth Sciences, University of Illinois at Urbana-Champaign - Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign - Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign - Beckman Institute for Advanced Science and Technology, Arizona State University (ASU) - School of Molecular Sciences, University of Illinois at Urbana-Champaign - Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign - Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign - Department of Chemistry, Jacobs University Bremen - Department of Physics and Earth Sciences, University of Illinois at Urbana-Champaign - Department of Physics, University of Illinois at Urbana-Champaign - Department of Physics, University of Calgary - Centre for Molecular Simulation, University of Sheffield - Department of Molecular Biology and Biotechnology, University of Illinois at Urbana-Champaign - Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign - Department of Physics and University of Illinois at Urbana-Champaign - Department of Physics
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Abstract:

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Cellular bioenergetics, Membrane sculpting, Charge transport, Photosynthesis, Respiration, Chromatophore, Macromolecular machines, Molecular networks, Integrative modeling, Computational chemistry, Molecular dynamics, Brownian dynamics, Systems Biology