title: Molecular machines or pleiomorphic ensembles: signaling complexes revisited.
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.
authors.affiliation: Richard D Berlin Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT 06030-3301, USA. bmayer@neuron.uchc.edu
authors.forename: Bruce J
authors.initials: BJ
authors.lastname: Mayer
authors.forename: Michael L
authors.initials: ML
authors.lastname: Blinov
authors.forename: Leslie M
authors.initials: LM
authors.lastname: Loew
mesh_terms: D048868:Adaptor Proteins, Signal Transducing / Q000187:drug effects* / Q000502:physiology; D000465:Algorithms; D001665:Binding Sites / Q000187:drug effects / Q000502:physiology; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D008958:Models, Molecular; D015233:Models, Statistical; D009690:Nucleic Acid Conformation / Q000187:drug effects*; D010766:Phosphorylation / Q000187:drug effects / Q000502:physiology; D011485:Protein Binding / Q000187:drug effects / Q000502:physiology; D011487:Protein Conformation / Q000187:drug effects*; D017510:Protein Folding / Q000187:drug effects; D015398:Signal Transduction / Q000187:drug effects / Q000502:physiology*; D013816:Thermodynamics
chemical_list: D048868:Adaptor Proteins, Signal Transducing