- 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
- Tim Sands, BioMed Central
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.
A highly curated metabolic network model of the bacterium Clostridium difficile, which can cause serious hospital infections, predicts a number of essential genes presenting potential drug targets, some of which have homologs with existing inhibitory drugs.
BMC Systems Biology 2015, 9:15
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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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