285 research outputs found

    Unravelling the structure of the tetrahedral metal-binding site in METP3 through an experimental and computational approach

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    Understanding the structural determinants for metal ion coordination in metalloproteins is a fundamental issue for designing metal binding sites with predetermined geometry and activity. In order to achieve this, we report in this paper the design, synthesis and metal binding properties of METP3, a homodimer made up of a small peptide, which self assembles in the presence of tetra-hedrally coordinating metal ions. METP3 was obtained through a redesign approach, starting from the previously developed METP molecule. The undecapeptide sequence of METP, which dimerizes to house a Cys4 tetrahedral binding site, was redesigned in order to accommodate a Cys2His2 site. The binding properties of METP3 were determined toward different metal ions. Successful assem-bly of METP3 with Co(II), Zn(II) and Cd(II), in the expected 2:1 stoichiometry and tetrahedral geometry was proven by UV-visible spectroscopy. CD measurements on both the free and metal-bound forms revealed that the metal coordination drives the peptide chain to fold into a turned conformation. Finally, NMR data of the Zn(II)-METP3 complex, together with a retrostructural analysis of the Cys-X-X-His motif in metalloproteins, allowed us to define the model structure. All the results establish the suitability of the short METP sequence for accommodating tetrahedral metal binding sites, regardless of the first coordination ligands

    The Design of a Core Value Ontology Using Ontology Patterns

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    The creation of value is an important concern in organizations. However, current Enterprise Modeling languages all interprete value differently, which has a negative impact on the semantic quality of the model instantiations. This issue need to be solved to increase the relevance of these instantiations for business stakeholders. Therefore, the goal of this paper is the development of a sound Core Value Ontology. In order to do that, we employ a pattern-based ontology engineering approach, which employs the Unified Foundational Ontology
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