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Commentary
Nature Immunology  4, 933 - 936 (2003)
doi:10.1038/ni1003-933

In silico models for cellular and molecular immunology: successes, promises and challenges

Arup K Chakraborty1, Michael L Dustin2 & Andrey S Shaw3

1  Arup K. Chakraborty is at the Departments of Chemical Engineering and Chemistry, University of California, Berkeley, California 94720, USA and the Physical Biosciences and Materials Sciences Divisions, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. arup@uclink.berkeley.edu

2  Michael L. Dustin is at the Skirball Institute of Biomolecular Medicine and Department of Pathology, New York University School of Medicine, New York, New York 10016, USA.

3  Andrey S. Shaw is at the Department of Pathology and Immunology, Washington University School of Medicine, Box 8118, 660 South Euclid, Saint Louis, Missouri 63110, USA.

Although most immunologists do not routinely combine experiments with theoretical and mathematical modeling, new insights can be gained from this interdisciplinary approach. But what makes a good theoretical model?

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REFERENCE
Biological Computation
Nature Encyclopaedia of Life Sciences

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Nature Immunology
ISSN: 1529-2908
EISSN: 1529-2916
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