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      Defining an allosteric circuit in the cysteine protease domain of Clostridium difficile toxins

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          Abstract

          An internal cysteine protease domain (CPD) autoproteolytically regulates Clostridium difficile glucosylating toxins by releasing a cytotoxic effector domain into target cells. CPD activity is itself allosterically regulated by the eukaryotic-specific molecule inositol hexakisphosphate (InsP 6). Although allostery controls the function of most proteins, the molecular details underlying this regulatory mechanism are often difficult to characterize. Here we use chemical probes to show that apo-CPD is in dynamic equilibrium between active and inactive states. InsP 6 dramatically shifts this equilibrium towards an active conformer that is further restrained upon binding a suicide substrate. Structural analyses combined with systematic mutational and disulfide bond engineering studies reveal that residues within a β-hairpin region functionally couple the InsP 6 binding site to the active site. Collectively, our results identify an allosteric circuit that allows bacterial virulence factors to sense and respond to the eukaryotic environment.

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          A graphical user interface to the CCP4 program suite.

          CCP4i is a graphical user interface that makes running programs from the CCP4 suite simpler and quicker. It is particularly directed at inexperienced users and tightly linked to introductory and scientific documentation. It also provides a simple project-management system and visualization tools. The system is readily extensible and not specific to CCP4 software.
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            Intrinsic dynamics of an enzyme underlies catalysis.

            A unique feature of chemical catalysis mediated by enzymes is that the catalytically reactive atoms are embedded within a folded protein. Although current understanding of enzyme function has been focused on the chemical reactions and static three-dimensional structures, the dynamic nature of proteins has been proposed to have a function in catalysis. The concept of conformational substates has been described; however, the challenge is to unravel the intimate linkage between protein flexibility and enzymatic function. Here we show that the intrinsic plasticity of the protein is a key characteristic of catalysis. The dynamics of the prolyl cis-trans isomerase cyclophilin A (CypA) in its substrate-free state and during catalysis were characterized with NMR relaxation experiments. The characteristic enzyme motions detected during catalysis are already present in the free enzyme with frequencies corresponding to the catalytic turnover rates. This correlation suggests that the protein motions necessary for catalysis are an intrinsic property of the enzyme and may even limit the overall turnover rate. Motion is localized not only to the active site but also to a wider dynamic network. Whereas coupled networks in proteins have been proposed previously, we experimentally measured the collective nature of motions with the use of mutant forms of CypA. We propose that the pre-existence of collective dynamics in enzymes before catalysis is a common feature of biocatalysts and that proteins have evolved under synergistic pressure between structure and dynamics.
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              Evolutionarily conserved networks of residues mediate allosteric communication in proteins.

              A fundamental goal in cellular signaling is to understand allosteric communication, the process by which signals originating at one site in a protein propagate reliably to affect distant functional sites. The general principles of protein structure that underlie this process remain unknown. Here, we describe a sequence-based statistical method for quantitatively mapping the global network of amino acid interactions in a protein. Application of this method for three structurally and functionally distinct protein families (G protein-coupled receptors, the chymotrypsin class of serine proteases and hemoglobins) reveals a surprisingly simple architecture for amino acid interactions in each protein family: a small subset of residues forms physically connected networks that link distant functional sites in the tertiary structure. Although small in number, residues comprising the network show excellent correlation with the large body of mechanistic data available for each family. The data suggest that evolutionarily conserved sparse networks of amino acid interactions represent structural motifs for allosteric communication in proteins.
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                Author and article information

                Journal
                101186374
                31761
                Nat Struct Mol Biol
                Nature structural & molecular biology
                1545-9993
                1545-9985
                6 December 2010
                13 February 2011
                March 2011
                1 September 2011
                : 18
                : 3
                : 364-371
                Affiliations
                [1 ]Department of Pathology, Stanford School of Medicine, Stanford, California, USA
                [2 ]Department of Molecular and Cellular Physiology Stanford School of Medicine, Stanford, California, USA
                [3 ]Howard Hughes Institute, USA, Stanford School of Medicine, Stanford, California, USA
                [4 ]Department of Chemical and Systems Biology, Stanford School of Medicine, Stanford, California, USA
                [5 ]Department of Chemistry and Biochemistry, Ludwig Maximilians University (LMU) Munich, Germany
                [6 ]Department of Microbiology and Immunology, Stanford School of Medicine, Stanford, California, USA
                Author notes
                [7]

                Current Address: Genentech, Inc, South San Francisco, California, USA

                [8]

                Current Address: Pfizer, Inc, Sandwich, UK.

                [* ]To whom correspondence should be addressed: Matthew Bogyo mbogyo@ 123456stanford.edu Tel # 650-725-4132 or Aimee Shen ashen2@ 123456stanford.edu
                Article
                nihpa254656
                10.1038/nsmb.1990
                3076311
                21317893
                5b5625ca-18cf-4969-bad8-ae221f7d51b1

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Institute of Biomedical Imaging and Bioengineering : NIBIB
                Funded by: National Institute of General Medical Sciences : NIGMS
                Award ID: R01 EB005011-05A1 ||EB
                Funded by: National Institute of Biomedical Imaging and Bioengineering : NIBIB
                Funded by: National Institute of General Medical Sciences : NIGMS
                Award ID: K99 GM092934-01 ||GM
                Categories
                Article

                Molecular biology
                Molecular biology

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