• Collective decision making in bacterial viruses 

      Weitz, Joshua S.; Mileyko, Yuriy; Joh, Richard I.; Voit, Eberhard O. (Georgia Institute of TechnologyBiophysical Society, 2008-09)
      For many bacterial viruses, the choice of whether to kill host cells or enter a latent state depends on the multiplicity of coinfection. Here, we present a mathematical theory of how bacterial viruses can make collective ...
    • Identification of neutral sets of biochemical systems models from time series data 

      Vilela, Marco; Vinga, Susana; Grivet, Marco A.; Maia, Mattoso; Voit, Eberhard O.; Almeida, Jonas S. (Georgia Institute of TechnologyBioMed Central, 2009-05)
      Background The major difficulty in modeling biological systems from multivariate time series is the identification of parameter sets that endow a model with dynamical behaviors sufficiently similar to the experimental ...
    • Integrative Analysis of Transgenic Alfalfa (Medicago sativa L.) Suggests New Metabolic Control Mechanisms for Monolignol Biosynthesis 

      Lee, Yun; Chen, Fang; Gallego-Giraldo, Lina; Dixon, Richard A.; Voit, Eberhard O. (Georgia Institute of TechnologyPublic Library of Science, 2011-05)
      The entanglement of lignin polymers with cellulose and hemicellulose in plant cell walls is a major biological barrier to the economically viable production of biofuels from woody biomass. Recent efforts of reducing this ...
    • The internal state of medium spiny neurons varies in response to different input signals 

      Qi, Zhen; Miller, Gary W.; Voit, Eberhard O. (Georgia Institute of TechnologyBioMed Central, 2010-03)
      Background Parkinson's disease, schizophrenia, Huntington's chorea and drug addiction are manifestations of malfunctioning neurons within the striatum region at the base of the human forebrain. A key component of these ...
    • The role of systems modeling in drug discovery and predictive health 

      Voit, Eberhard O. (Georgia Institute of TechnologyChemistry Central, 2010-05-04)
      Systems biology is the result of a confluence of recent advances in molecular biology, engineering, and the computational sciences. It can loosely be categorized into experimental and computational systems biology. ...
    • Statistical Inference Methods for Sparse Biological Time Series Data 

      Ndukum, Juliet; Fonseca, Luís L.; Santos, Helena; Voit, Eberhard O.; Datta, Susmita (Georgia Institute of TechnologyBioMed Central, 2011-04)
      Background: Comparing metabolic profiles under different biological perturbations has become a powerful approach to investigating the functioning of cells. The profiles can be taken as single snapshots of a system, but ...
    • Systems Biology—What’s All the Buzz About? 

      Voit, Eberhard O. (Georgia Institute of Technology, 2008)