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      Near-atomic resolution visualization of human transcription promoter opening

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          Abstract

          In eukaryotic transcription initiation, a large multi-subunit pre-initiation complex (PIC) that assembles at the core promoter is required for the opening of the duplex DNA and identification of the start site for transcription by RNA polymerase II. Here we use cryo-electron microscropy (cryo-EM) to determine near-atomic resolution structures of the human PIC in a closed state (engaged with duplex DNA), an open state (engaged with a transcription bubble), and an initially transcribing complex (containing six base pairs of DNA–RNA hybrid). Our studies provide structures for previously uncharacterized components of the PIC, such as TFIIE and TFIIH, and segments of TFIIA, TFIIB and TFIIF. Comparison of the different structures reveals the sequential conformational changes that accompany the transition from each state to the next throughout the transcription initiation process. This analysis illustrates the key role of TFIIB in transcription bubble stabilization and provides strong structural support for a translocase activity of XPB.

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          Scalable web services for the PSIPRED Protein Analysis Workbench

          Here, we present the new UCL Bioinformatics Group’s PSIPRED Protein Analysis Workbench. The Workbench unites all of our previously available analysis methods into a single web-based framework. The new web portal provides a greatly streamlined user interface with a number of new features to allow users to better explore their results. We offer a number of additional services to enable computationally scalable execution of our prediction methods; these include SOAP and XML-RPC web server access and new HADOOP packages. All software and services are available via the UCL Bioinformatics Group website at http://bioinf.cs.ucl.ac.uk/.
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            The Phenix software for automated determination of macromolecular structures.

            X-ray crystallography is a critical tool in the study of biological systems. It is able to provide information that has been a prerequisite to understanding the fundamentals of life. It is also a method that is central to the development of new therapeutics for human disease. Significant time and effort are required to determine and optimize many macromolecular structures because of the need for manual interpretation of complex numerical data, often using many different software packages, and the repeated use of interactive three-dimensional graphics. The Phenix software package has been developed to provide a comprehensive system for macromolecular crystallographic structure solution with an emphasis on automation. This has required the development of new algorithms that minimize or eliminate subjective input in favor of built-in expert-systems knowledge, the automation of procedures that are traditionally performed by hand, and the development of a computational framework that allows a tight integration between the algorithms. The application of automated methods is particularly appropriate in the field of structural proteomics, where high throughput is desired. Features in Phenix for the automation of experimental phasing with subsequent model building, molecular replacement, structure refinement and validation are described and examples given of running Phenix from both the command line and graphical user interface. Copyright © 2011 Elsevier Inc. All rights reserved.
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              Flexible fitting of atomic structures into electron microscopy maps using molecular dynamics.

              A novel method to flexibly fit atomic structures into electron microscopy (EM) maps using molecular dynamics simulations is presented. The simulations incorporate the EM data as an external potential added to the molecular dynamics force field, allowing all internal features present in the EM map to be used in the fitting process, while the model remains fully flexible and stereochemically correct. The molecular dynamics flexible fitting (MDFF) method is validated for available crystal structures of protein and RNA in different conformations; measures to assess and monitor the fitting process are introduced. The MDFF method is then used to obtain high-resolution structures of the E. coli ribosome in different functional states imaged by cryo-EM.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                7 July 2016
                11 May 2016
                19 May 2016
                19 November 2016
                : 533
                : 7603
                : 359-365
                Affiliations
                [1 ]Molecular Biophysics and Integrative Bio-Imaging Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
                [2 ]Department of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208, USA.
                [3 ]Department of Chemistry, Center for Diagnostics and Therapeutics, Georgia State University, Atlanta, Georgia 30302, USA.
                [4 ]Howard Hughes Medical Institute, University of California, Berkeley, California 94720, USA.
                [5 ]Li Ka Shing Center for Biomedical and Health Sciences, University of California, Berkeley, California 94720, USA.
                [6 ]Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA.
                Author notes
                Correspondence and requests for materials should be addressed to Y.H. ( yuanhe@ 123456northwestern.edu ) and E.N. ( ENogales@ 123456lbl.gov )
                Article
                PMC4940141 PMC4940141 4940141 nihpa799576
                10.1038/nature17970
                4940141
                27193682
                1eaed187-279b-4e19-a274-fec3457b1b98

                Reprints and permissions information is available at www.nature.com/reprints.

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