Integrating diverse data for structure determination of macromolecular assemblies
Alber, F. and Forster, F. and Korkin, D. and Topf, Maya and Sali, A. (2008) Integrating diverse data for structure determination of macromolecular assemblies. Annual Review of Biochemistry 77 , pp. 443-477. ISSN 0066-4154.
To understand the cell, we need to determine the macromolecular assembly structures, which may consist of tens to hundreds of components. First, we review the varied experimental data that characterize the assemblies at several levels of resolution. We then describe computational methods for generating the structures using these data. To maximize completeness, resolution, accuracy, precision, and efficiency of the structure determination, a computational approach is required that uses 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. This approach is illustrated by determining the configuration of the 456 proteins in the nuclear pore complex (NPC) from baker's yeast. With these tools, we are poised to integrate structural information gathered at multiple levels of the biological hierarchy—from atoms to cells—into a common framework.
|School:||Birkbeck Schools and Departments > School of Science > Biological Sciences|
|Research Centre:||Bioinformatics, Bloomsbury Centre for, Structural Molecular Biology, Institute of (ISMB)|
|Date Deposited:||04 Aug 2010 14:09|
|Last Modified:||07 Dec 2016 15:02|
Additional statistics are available via IRStats2.