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      Integrative Structure and Functional Anatomy of a Nuclear Pore Complex

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          Summary

          Despite the central role of Nuclear Pore Complexes (NPCs) as gatekeepers of RNA and protein transport between the cytoplasm and nucleoplasm, their large size and dynamic nature have impeded a full structural and functional elucidation. Here, we have determined a subnanometer precision structure for the entire 552-protein yeast NPC by satisfying diverse data including stoichiometry, a cryo-electron tomography map, and chemical cross-links. The structure reveals the NPC’s functional elements in unprecedented detail. The NPC is built of sturdy diagonal columns to which are attached connector cables, imbuing both strength and flexibility, while tying together all other elements of the NPC, including membrane-interacting regions and RNA processing platforms. Inwardly-directed anchors create a high density of transport factor-docking Phe-Gly repeats in the central channel, organized in distinct functional units. Taken together, this integrative structure allows us to rationalize the architecture, transport mechanism, and evolutionary origins of the NPC.

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          Protein homology detection by HMM-HMM comparison.

          Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. We have generalized the alignment of protein sequences with a profile hidden Markov model (HMM) to the case of pairwise alignment of profile HMMs. We present a method for detecting distant homologous relationships between proteins based on this approach. The method (HHsearch) is benchmarked together with BLAST, PSI-BLAST, HMMER and the profile-profile comparison tools PROF_SIM and COMPASS, in an all-against-all comparison of a database of 3691 protein domains from SCOP 1.63 with pairwise sequence identities below 20%.Sensitivity: When the predicted secondary structure is included in the HMMs, HHsearch is able to detect between 2.7 and 4.2 times more homologs than PSI-BLAST or HMMER and between 1.44 and 1.9 times more than COMPASS or PROF_SIM for a rate of false positives of 10%. Approximately half of the improvement over the profile-profile comparison methods is attributable to the use of profile HMMs in place of simple profiles. Alignment quality: Higher sensitivity is mirrored by an increased alignment quality. HHsearch produced 1.2, 1.7 and 3.3 times more good alignments ('balanced' score >0.3) than the next best method (COMPASS), and 1.6, 2.9 and 9.4 times more than PSI-BLAST, at the family, superfamily and fold level, respectively.Speed: HHsearch scans a query of 200 residues against 3691 domains in 33 s on an AMD64 2GHz PC. This is 10 times faster than PROF_SIM and 17 times faster than COMPASS.
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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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              Brownian dynamics with hydrodynamic interactions

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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                10 May 2018
                14 March 2018
                22 March 2018
                14 September 2018
                : 555
                : 7697
                : 475-482
                Affiliations
                [1 ]Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA
                [2 ]Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, NY 10065, USA
                [3 ]Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, New York, NY 10065, USA
                [4 ]Institute for Systems Biology, 401 Terry Ave. N., Seattle, WA 98109, USA
                [5 ]Stowers Institute for Medical Research, Kansas City, MO 64110, USA
                [6 ]Department of Chemistry, Indiana University, Bloomington, IN 47405, USA
                [7 ]Skirball Institute and Department of Cell Biology, New York University School of Medicine, New York, NY 10016, USA
                [9 ]Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia, 20148, USA
                [10 ]Center for Infectious Disease Research, Seattle, WA, USA
                [11 ]National Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
                [12 ]Department of Physiology and Biophysics, Boston University School of Medicine, 700 Albany Street, Boston, MA 02118, USA
                Author notes
                Correspondence and requests for materials should be addressed to M.P. Rout ( rout@ 123456rockefeller.edu )
                [†]

                Co-corresponding authors:

                Michael P. Rout, Box 213, Laboratory of Cellular and Structural Biology, Rockefeller University, 1230 York Avenue, New York, NY10065, USA; tel: +1 212 327 8135; fax: +1 212 327 7193; rout@ 123456rockefeller.edu

                Brian T. Chait, Box 170, Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, New York, NY10065, USA; tel: +1 212 327 8847; fax: +1 212 327-7547; chait@ 123456rockefeller.edu

                Andrej Sali, UCSF MC 2552, Byers Hall at Mission Bay, Suite 503B, University of California, San Francisco, 1700 4th Street, San Francisco, CA 94158, USA; tel: +1 415 514 4227; fax: +1 415 514 4231; sali@ 123456salilab.org

                Christopher W. Akey, Department of Physiology and Biophysics, Boston University School of Medicine, 700 Albany Street, Boston, MA 02118, USA; cakey@ 123456bu.edu

                Steven J. Ludtke, National Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA; sludtke@ 123456bcm.edu

                [8]

                Current address: Structural Bioinformatics Unit, Institut Pasteur, CNRS UMR 3528, Paris, France

                [13]

                Current address: Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15260, USA.

                [*]

                These authors contributed equally to this work and their order was determined through a random selection process.

                Article
                NIHMS941143
                10.1038/nature26003
                6022767
                29539637
                747a917f-57ea-4c21-91bb-35b6c4992f4c

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