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      Confirmation of intersubunit connectivity and topology of designed protein complexes by native MS

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          Abstract

          <p id="d7435716e270">Recent advancements in computational protein design have enabled the generation of proteins and protein complexes that are not present in nature. A current major limitation of the research is in the subsequent structural characterization. The commonly used techniques—X-ray crystallography, NMR spectroscopy, and cryo-EM—are time- and resource-consuming and heavily rely on sample quantity and quality. These limitations are particularly problematic for protein complexes. In this work, we show the applicability of native MS ion mobility coupled with surface-induced dissociation as a structural biology screening tool for designed proteins. We show that information about stoichiometry, intersubunit connectivity, and complex topology is rapidly gained by this SID-IM-MS methodology. </p><p class="first" id="d7435716e273">Computational protein design provides the tools to expand the diversity of protein complexes beyond those found in nature. Understanding the rules that drive proteins to interact with each other enables the design of protein–protein interactions to generate specific protein assemblies. In this work, we designed protein–protein interfaces between dimers and trimers to generate dodecameric protein assemblies with dihedral point group symmetry. We subsequently analyzed the designed protein complexes by native MS. We show that the use of ion mobility MS in combination with surface-induced dissociation (SID) allows for the rapid determination of the stoichiometry and topology of designed complexes. The information collected along with the speed of data acquisition and processing make SID ion mobility MS well-suited to determine key structural features of designed protein complexes, thereby circumventing the requirement for more time- and sample-consuming structural biology approaches. </p>

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          Most cited references39

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          ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

          We have recently completed a full re-architecturing of the ROSETTA molecular modeling program, generalizing and expanding its existing functionality. The new architecture enables the rapid prototyping of novel protocols by providing easy-to-use interfaces to powerful tools for molecular modeling. The source code of this rearchitecturing has been released as ROSETTA3 and is freely available for academic use. At the time of its release, it contained 470,000 lines of code. Counting currently unpublished protocols at the time of this writing, the source includes 1,285,000 lines. Its rapid growth is a testament to its ease of use. This chapter describes the requirements for our new architecture, justifies the design decisions, sketches out central classes, and highlights a few of the common tasks that the new software can perform. © 2011 Elsevier Inc. All rights reserved.
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            Shape complementarity at protein/protein interfaces.

            A new statistic Sc, which has a number of advantages over other measures of packing, is used to examine the shape complementarity of protein/protein interfaces selected from the Brookhaven Protein Data Bank. It is shown using Sc that antibody/antigen interfaces as a whole exhibit poorer shape complementarity than is observed in other systems involving protein/protein interactions. This result can be understood in terms of the fundamentally different evolutionary history of particular antibody/antigen associations compared to other systems considered, and in terms of the differing chemical natures of the interfaces.
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              Structural symmetry and protein function.

              The majority of soluble and membrane-bound proteins in modern cells are symmetrical oligomeric complexes with two or more subunits. The evolutionary selection of symmetrical oligomeric complexes is driven by functional, genetic, and physicochemical needs. Large proteins are selected for specific morphological functions, such as formation of rings, containers, and filaments, and for cooperative functions, such as allosteric regulation and multivalent binding. Large proteins are also more stable against denaturation and have a reduced surface area exposed to solvent when compared with many individual, smaller proteins. Large proteins are constructed as oligomers for reasons of error control in synthesis, coding efficiency, and regulation of assembly. Symmetrical oligomers are favored because of stability and finite control of assembly. Several functions limit symmetry, such as interaction with DNA or membranes, and directional motion. Symmetry is broken or modified in many forms: quasisymmetry, in which identical subunits adopt similar but different conformations; pleomorphism, in which identical subunits form different complexes; pseudosymmetry, in which different molecules form approximately symmetrical complexes; and symmetry mismatch, in which oligomers of different symmetries interact along their respective symmetry axes. Asymmetry is also observed at several levels. Nearly all complexes show local asymmetry at the level of side chain conformation. Several complexes have reciprocating mechanisms in which the complex is asymmetric, but, over time, all subunits cycle through the same set of conformations. Global asymmetry is only rarely observed. Evolution of oligomeric complexes may favor the formation of dimers over complexes with higher cyclic symmetry, through a mechanism of prepositioned pairs of interacting residues. However, examples have been found for all of the crystallographic point groups, demonstrating that functional need can drive the evolution of any symmetry.
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                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc Natl Acad Sci USA
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                February 06 2018
                February 06 2018
                February 06 2018
                January 19 2018
                : 115
                : 6
                : 1268-1273
                Article
                10.1073/pnas.1713646115
                5819399
                29351988
                970ff82c-75c7-4584-aca2-b5ace64a77a0
                © 2018

                Free to read

                http://www.pnas.org/site/misc/userlicense.xhtml

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