Trnka, M.J. and Pellarin, R. and Robinson, Philip J. (2019) Role of integrative structural biology in understanding transcriptional initiation. Methods 159-60 , pp. 4-22. ISSN 1046-2023.
|
Text
27397.pdf - Published Version of Record Available under License Creative Commons Attribution. Download (4MB) | Preview |
Abstract
Integrative structural biology combines data from multiple experimental techniques to generate complete structural models for the biological system of interest. Most commonly cross-linking data sets are employed alongside electron microscopy maps, crystallographic structures, and other data by computational methods that integrate all known information and produce structural models at a level of resolution that is appropriate to the input data. The precision of these modelled solutions is limited by the sparseness of cross-links observed, the length of the cross-linking reagent, the ambiguity arisen from the presence of multiple copies of the same protein, and structural and compositional heterogeneity. In recent years integrative structural biology approaches have been successfully applied to a range of RNA polymerase II complexes. Here we will provide a general background to integrative structural biology, a description of how it should be practically implemented and how it has furthered our understanding of the biology of large transcriptional assemblies. Finally, in the context of recent breakthroughs in microscope and direct electron detector technology, where increasingly EM is capable of resolving structural features directly without the aid of other structural techniques, we will discuss the future role of integrative structural techniques.
Metadata
Item Type: | Article |
---|---|
Keyword(s) / Subject(s): | Integrative structural determination, RNA polymerase II, Transcriptional initiation machinery, Cross-linking mass spectrometry, Multi-subunit complex architecture, Computational molecular modelling, Cryo-EM |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Natural Sciences |
Depositing User: | Administrator |
Date Deposited: | 02 May 2019 10:33 |
Last Modified: | 02 Aug 2023 17:51 |
URI: | https://eprints.bbk.ac.uk/id/eprint/27397 |
Statistics
Additional statistics are available via IRStats2.