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Highly Accessed Opinion

Molecular machines or pleiomorphic ensembles: signaling complexes revisited

Bruce J Mayer123*, Michael L Blinov13 and Leslie M Loew14

Author affiliations

1 Richard D Berlin Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT 06030-3301, USA

2 Raymond and Beverly Sackler Laboratory of Genetics and Molecular Medicine, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT 06030-3301, USA

3 Department of Genetics and Developmental Biology, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT 06030-3301, USA

4 Department of Cell Biology, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT 06030-3301, USA

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Citation and License

Journal of Biology 2009, 8:81  doi:10.1186/jbiol185

Published: 16 October 2009

Abstract

Signaling complexes typically consist of highly dynamic molecular ensembles that are challenging to study and to describe accurately. Conventional mechanical descriptions misrepresent this reality and can be actively counterproductive by misdirecting us away from investigating critical issues.