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Systems biology is a growing field in which researchers seek to model and understand the structural, genetic, and dynamic relationships of living systems and their biological parts at scales that range from biochemical pathways and small biomolecular complexes to whole organisms. Topics for this issue include machine-learning methods, drug discovery, the visualization of complex biochemical pathways, the modeling of biological systems at different size scales, and the demands that systems biology research places on computing resources.
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Systems Biology
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Message from the General Manager, Healthcare and Life Sciences Industry, IBM Public Sector
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Caroline A. Kovac
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Preface
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S. Burbeck and K. E. Jordan, Guest Editors
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p. 527
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An assessment of the role of computing in systems biology
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S. Burbeck and K. E. Jordan
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p. 529
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Graph data management for molecular and cell biology
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B. A. Eckman and P. G. Brown
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p. 545
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The Pathway Editor: A tool for managing complex biological networks
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A. Sorokin, K. Paliy, A. Selkov, O. V. Demin, S. Dronov, P. Ghazal, and I. Goryanin
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p. 561
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Visualization of complementary systems biology data with parallel heatmaps
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R. M. Podowski, B. Miller, and W. W. Wasserman
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p. 575
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A spatially detailed myofilament model as a basis for large-scale biological simulations
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J. Hussan, P. P. de Tombe, and J. J. Rice
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p. 583
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Multiscale biosystems integration: Coupling intracellular network analysis with tissue-patterning simulations
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S. M. Peirce, T. C. Skalak, and J. A. Papin
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p. 601
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Computational multiscale modeling in the IUPS Physiome Project: Modeling cardiac electromechanics
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D. Nickerson, M. Nash, P. Nielsen, N. Smith, and P. Hunter
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p. 617
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Machine learning methods for transcription data integration
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D. T. Holloway, M. A. Kon, and C. DeLisi
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p. 631
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Model-based design approaches in drug discovery: A parallel to traditional engineering approaches
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B. Schoeberl, U. B. Nielsen, and R. Paxson
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p. 645
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Author index for Volume 50
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p. 653
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Subject index for Volume 50
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p. 659
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Errata
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p. 665
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