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Structural Systems Biology and Multiscale Signaling Models

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Abstract

We review current advances in experimental as well as computational modeling and simulation approaches to structural systems biology, whose overall aim is to build quantitative models of signaling networks while retaining the crucial elements of molecular specificity. We briefly discuss the current and emerging experimental and computational methods, particularly focusing on hybrid and multiscale methods, and highlight several applications in cell signaling with quantitative and predictive capabilities. The scope of such models range from delineating protein–protein interactions to describing clinical implications.

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Acknowledgments

We acknowledge financial support from NSF grants CBET-0853389 and CBET-0853539. Computational resources were provided in part by the National Partnership for Advanced Computational Infrastructure (NPACI) under the allocation grant MRAC MCB060006. S.E.T. was supported by the National Institutes of Health under Ruth L. Kirschstein National Research Service Award 2T32HL007954 from the NIH-NHLBI, a National Science Foundation Graduate Research Fellowship, and a Graduate Assistantship in Areas of National Need (GAANN) from the Department of Education.

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No conflicts of interest apply to this manuscript and related work.

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Authors and Affiliations

  1. Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA

    Shannon E. Telesco & Ravi Radhakrishnan

  2. Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA

    Ravi Radhakrishnan

  3. Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, 19104, USA

    Ravi Radhakrishnan

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  1. Shannon E. Telesco
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Correspondence to Ravi Radhakrishnan.

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Associate Editor Michael R. King oversaw the review of this article.

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Telesco, S.E., Radhakrishnan, R. Structural Systems Biology and Multiscale Signaling Models. Ann Biomed Eng 40, 2295–2306 (2012). https://doi.org/10.1007/s10439-012-0576-6

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  • DOI: https://doi.org/10.1007/s10439-012-0576-6

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