Abstract
To understand the cell, we need to determine the structures of macromolecular assemblies, many of which consist of tens to hundreds of components. A great variety of experimental data can be used to characterize the assemblies at several levels of resolution, from atomic structures to component configurations. To maximize completeness, resolution, accuracy, precision and efficiency of the structure determination, a computational approach is needed that can use spatial information from a variety of experimental methods. We propose such an approach, defined by its three main components: a hierarchical representation of the assembly, a scoring function consisting of spatial restraints derived from experimental data, and an optimization method that generates structures consistent with the data. We illustrate the approach by determining the configuration of the 456 proteins in the nuclear pore complex from Baker’s yeast.
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Alber, F., Chait, B.T., Rout, M.P., Sali, A. (2008). Integrative Structure Determination of Protein Assemblies by Satisfaction of Spatial Restraints. In: Panchenko, A., Przytycka, T. (eds) Protein-protein Interactions and Networks. Computational Biology, vol 9. Springer, London. https://doi.org/10.1007/978-1-84800-125-1_6
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DOI: https://doi.org/10.1007/978-1-84800-125-1_6
Publisher Name: Springer, London
Print ISBN: 978-1-84800-124-4
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