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Multiscale Modeling of Virus Structure, Assembly, and Dynamics

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Computational Modeling of Biological Systems

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

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Abstract

Viruses are traditionally considered as infectious agents that attack cells and cause illnesses like AIDS, Influenza, Hepatitis, etc. However, recent advances have illustrated the potential for viruses to play positive roles for human health, instead of causing disease [1, 2]. For example, viruses can be employed for a variety of biomedical and biotechnological applications, including gene therapy[3], drug delivery[4], tumor targeting[5], and medical imaging[6]. Therefore, it is important to understand quantitatively how viruses operate such that they can be engineered in a predictive manner for beneficial roles.

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Acknowledgements

This work has been supported by the NSF through the center for theoretical biological physics (CTBP) at the University of California, San Diego (PHY0216576), by the National Institute of Health for funding through the multiscale modeling tools for structural biology (MMTSB) research resource center RR012255, and research grant GM037555, and by the National Science Foundation through a postdoctoral fellowship to ERM (DBI-0905773).

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Authors and Affiliations

  1. Department of Chemistry and Biophysics Program, University of Michigan, Ann Arbor, MI, 48109, USA

    Eric R. May, Karunesh Arora & Charles L. Brooks III

  2. Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, 02138, USA

    Ranjan V. Mannige

  3. Department of Chemical Engineering and Materials Science, University of California, Irving, Irvine, CA, 92697, USA

    Hung D. Nguyen

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  1. Eric R. May
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Correspondence to Charles L. Brooks III .

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    Nikolay V Dokholyan

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May, E.R., Arora, K., Mannige, R.V., Nguyen, H.D., Brooks, C.L. (2012). Multiscale Modeling of Virus Structure, Assembly, and Dynamics. In: Dokholyan, N. (eds) Computational Modeling of Biological Systems. Biological and Medical Physics, Biomedical Engineering. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-2146-7_7

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