Section Editors

  • Nitin Baliga, Institute for Systems Biology
  • Christina Chan, Michigan State University
  • Luonan Chen, Chinese Academy of Sciences
  • Sang Yup Lee, Korea Advanced Institute of Science and Technology
  • Pedro Mendes, Univ. of Manchester/Univ. Connecticut Health Center
  • Matteo Pellegrini, University of California, Los Angeles

Executive Editor

  • Tim Sands, BioMed Central

Articles

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  • Flux predictions at sub-optimal growth

    A new flux balance analysis method predicts internal cell fluxes of growth below optimal rates based on the optimization of protein cost at sub-optimal biomass objective levels, and simulations predict features of E.coli central carbon metabolism.

    BMC Systems Biology 2015, 9:18
  • Image attributed to: Tomomarusan on Wikipedia, CC-BY 2.5

    Optimizing ammonite forms

    Across ammonite genera, trade-offs between different shape phenotypes resulted in a small range of successful forms, that could be represented by a pyramid in the diagram of possible shape parameters, with each point representing an optimized archetype.

    BMC Systems Biology 2015, 9:12
  • Image attributed to: iStock Photo

    Listening in on cancer cross-talk

    The use of inhibitors to components of cancer signaling pathways is dogged by resistance and cross-talk upregulating compensatory pathways. A new computational framework characterizes the cross-talks between pathways in breast cancer cell lines.

    BMC Systems Biology 2015, 9:2

Scope

BMC Systems Biology is an open access, peer-reviewed journal that considers articles on experimental and theoretical aspects of the function of biological systems at the molecular, cellular or organismal level, in particular those addressing the engineering of biological systems, network modeling, quantitative analyses and the integration of different levels of information.

BMC Systems Biology is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.

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ISSN: 1752-0509