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Hidden relationships between metalloproteins unveiled by structural comparison of their metal sites.

ABSTRACT: Metalloproteins account for a substantial fraction of all proteins. They incorporate metal atoms, which are required for their structure and/or function. Here we describe a new computational protocol to systematically compare and classify metal-binding sites on the basis of their structural similarity. These sites are extracted from the MetalPDB database of minimal functional sites (MFSs) in metal-binding biological macromolecules. Structural similarity is measured by the scoring function of the available MetalS2 program. Hierarchical clustering was used to organize MFSs into clusters, for each of which a representative MFS was identified. The comparison of all representative MFSs provided a thorough structure-based classification of the sites analyzed. As examples, the application of the proposed computational protocol to all heme-binding proteins and zinc-binding proteins of known structure highlighted the existence of structural subtypes, validated known evolutionary links and shed new light on the occurrence of similar sites in systems at different evolutionary distances. The present approach thus makes available an innovative viewpoint on metalloproteins, where the functionally crucial metal sites effectively lead the discovery of structural and functional relationships in a largely protein-independent manner.

SUBMITTER: Valasatava Y

PROVIDER: S-EPMC4377587 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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Hidden relationships between metalloproteins unveiled by structural comparison of their metal sites.

Valasatava Yana Y Andreini Claudia C Rosato Antonio A

Scientific reports 20150330

Metalloproteins account for a substantial fraction of all proteins. They incorporate metal atoms, which are required for their structure and/or function. Here we describe a new computational protocol to systematically compare and classify metal-binding sites on the basis of their structural similarity. These sites are extracted from the MetalPDB database of minimal functional sites (MFSs) in metal-binding biological macromolecules. Structural similarity is measured by the scoring function of the ...[more]

PMID: 25820752

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Project description:Our laboratories have actively published in this area for several years and the objective of this chapter is to present as comprehensive an overview as possible. Following a brief review of the basic principles associated with (113)Cd NMR methods, we will present the results from a thorough literature search for (113)Cd chemical shifts from metalloproteins. The updated (113)Cd chemical shift figure in this chapter will further illustrate the excellent correlation of the (113)Cd chemical shift with the nature of the coordinating ligands (N, O, S) and coordination number/geometry, reaffirming how this method can be used not only to identify the nature of the protein ligands in uncharacterized cases but also the dynamics at the metal binding site. Specific examples will be drawn from studies on alkaline phosphatase, Ca(2+) binding proteins, and metallothioneins.In the case of Escherichia coli alkaline phosphatase, a dimeric zinc metalloenzyme where a total of six metal ions (three per monomer) are involved directly or indirectly in providing the enzyme with maximal catalytic activity and structural stability, (113)Cd NMR, in conjunction with (13)C and (31)P NMR methods, were instrumental in separating out the function of each class of metal binding sites. Perhaps most importantly, these studies revealed the chemical basis for negative cooperativity that had been reported for this enzyme under metal deficient conditions. Also noteworthy was the fact that these NMR studies preceded the availability of the X-ray crystal structure.In the case of the calcium binding proteins, we will focus on two proteins: calbindin D(9k) and calmodulin. For calbindin D(9k) and its mutants, (113)Cd NMR has been useful both to follow actual changes in the metal binding sites and the cooperativity in the metal binding. Ligand binding to calmodulin has been studied extensively with (113)Cd NMR showing that the metal binding sites are not directly involved in the ligand binding. The (113)Cd chemical shifts are, however, exquisitely sensitive to minute changes in the metal ion environment.In the case of metallothionein, we will reflect upon how (113)Cd substitution and the establishment of specific Cd to Cys residue connectivity by proton-detected heteronuclear (1)H-(113)Cd multiple-quantum coherence methods (HMQC) was essential for the initial establishment of the 3D structure of metallothioneins, a protein family deficient in the regular secondary structural elements of α-helix and β-sheet and the first native protein identified with bound Cd. The (113)Cd NMR studies also enabled the characterization of the affinity of the individual sites for (113)Cd and, in competition experiments, for other divalent metal ions: Zn, Cu, and Hg.

Project description:A novel ArsR-SmtB family transcriptional repressor, KmtR, has been characterised from mycobacteria. Mutants of M. tuberculosis lacking kmtR show elevated expression of Rv2025c encoding a deduced CDF-family metal-exporter. KmtR-dependent repression of the cdf and kmtR operator-promoters was alleviated by nickel and cobalt in minimal medium. Electrophoretic mobility shift assays (EMSA) and fluorescence anisotropy (FA) show binding of purified KmtR to nucleotide sequences containing a region of dyad symmetry from the cdf and kmtR operator-promoters. A relatively large deltar(obs) in FA implies formation of high order apo-KmtR(n)-DNA and multiple complexes were detected by EMSA. Incubation of KmtR with cobalt inhibits DNA-complex assembly and metal-protein binding was confirmed by competition against 4-(2-pyridylazo)-resorcinol. KmtR is the second, to NmtR, characterised ArsR-SmtB sensor of nickel and cobalt from M. tuberculosis suggesting special significance for these ions in this pathogen. KmtR-dependent expression is elevated in complete medium with no increase in response to metals, while NmtR retains a response to nickel and cobalt under these conditions. Mixing equimolar apo-KmtR and apo-NmtR with 0.8 equivalents of nickel or cobalt gave nickel- and cobalt-dependent difference emission spectra similar to nickel(0.8)-KmtR and cobalt(0.8)-KmtR, respectively. Thus, KmtR has tighter affinities for nickel and cobalt than NmtR consistent with basal levels of these metals being sensed by KmtR but not NmtR in complete medium. More than a thousand genes encoding ArsR-SmtB related proteins are listed in databases and a proportion can be predicted to detect metals through known allosteric sites. KmtR has none of the previously defined sites. Substitution of His(88), Glu(101), His(102), His(110) or His(111) with Gln generated KmtR-variants that repress the cdf and kmtR operator-promoters even in elevated nickel and cobalt, revealing a new sensory site. Importantly, ArsR-SmtB sequence groupings do not correspond with the different sensory-motifs revealing that only the latter should be used to predict metal-sensing. Data is also available from http://bugs.sgul.ac.uk/E-BUGS-49

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Hidden relationships between metalloproteins unveiled by structural comparison of their metal sites.

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Hidden relationships between metalloproteins unveiled by structural comparison of their metal sites.

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