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      Structural basis for client recognition and activity of Hsp40 chaperones

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      Science
      American Association for the Advancement of Science (AAAS)

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          Abstract

          Hsp70 and Hsp40 chaperones work synergistically in a wide range of biological processes including protein synthesis, membrane translocation, and folding. We used nuclear magnetic resonance spectroscopy to determine the solution structure and dynamic features of an Hsp40 in complex with an unfolded client protein. Atomic structures of the various binding sites in the client complexed to the binding domains of the Hsp40 reveal the recognition pattern. Hsp40 engages the client in a highly dynamic fashion using a multivalent binding mechanism that alters the folding properties of the client. Different Hsp40 family members have different numbers of client-binding sites with distinct sequence selectivity, providing additional mechanisms for activity regulation and function modification. Hsp70 binding to Hsp40 displaces the unfolded client. The activity of Hsp40 is altered in its complex with Hsp70, further regulating client binding and release.

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          Most cited references49

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          Version 1.2 of the Crystallography and NMR system.

          Version 1.2 of the software system, termed Crystallography and NMR system (CNS), for crystallographic and NMR structure determination has been released. Since its first release, the goals of CNS have been (i) to create a flexible computational framework for exploration of new approaches to structure determination, (ii) to provide tools for structure solution of difficult or large structures, (iii) to develop models for analyzing structural and dynamical properties of macromolecules and (iv) to integrate all sources of information into all stages of the structure determination process. Version 1.2 includes an improved model for the treatment of disordered solvent for crystallographic refinement that employs a combined grid search and least-squares optimization of the bulk solvent model parameters. The method is more robust than previous implementations, especially at lower resolution, generally resulting in lower R values. Other advances include the ability to apply thermal factor sharpening to electron density maps. Consistent with the modular design of CNS, these additions and changes were implemented in the high-level computing language of CNS.
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            Automated NMR structure calculation with CYANA.

            This chapter gives an introduction to automated nuclear magnetic resonance (NMR) structure calculation with the program CYANA. Given a sufficiently complete list of assigned chemical shifts and one or several lists of cross-peak positions and columns from two-, three-, or four-dimensional nuclear Overhauser effect spectroscopy (NOESY) spectra, the assignment of the NOESY cross-peaks and the three-dimensional structure of the protein in solution can be calculated automatically with CYANA.
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              NMR characterization of the dynamics of biomacromolecules.

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                Author and article information

                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                September 19 2019
                September 20 2019
                September 19 2019
                September 20 2019
                : 365
                : 6459
                : 1313-1319
                Article
                10.1126/science.aax1280
                7023980
                31604242
                16d26432-8b08-4a9f-9d36-2a5f3bb29b5c
                © 2019

                http://www.sciencemag.org/about/science-licenses-journal-article-reuse

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