12 research outputs found

    Ligand-induced DNA conformational changes in proflavine minor groove-bound complexes studied by molecular dynamics simulation

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    Background: Minor groove binding is a rate-limiting step in proflavine-DNA intercalation reaction. This step is believed also to be responsible for the sequence-dependent kinetics of proflavine binding to DNA. At the same time, most studies are focused on the final stage of the reaction – the intercalation complex, and there is a lack of data concerning the structure and stability of proflavine-DNA minor groove-bound complexes. Objectives: The objective of this study was to investigate the stability of proflavine minor groove-bound complexes with DNA oligonucleotides of different sequence by molecular dynamics simulation and to analyze the DNA conformational changes caused by the proflavine binding. Materials and methods: The molecular dynamics simulations of proflavine minor groove-bound complexes with poly(dA)·poly(dT) and poly(dCG)·poly(dCG) oligonucleotides of 30 bp length were done in program package AMBER12 with explicit water (SPC/E) and ions (NaCl 0.15 M) using force fields FF14SB for DNA and GAFF for ligand. The starting configurations of complexes were obtained by docking method in AutoDock 3.05. After multi-stage equilibration protocol, each system was simulated at T=300 K and p=1 bar for a 50 ns production phase. Then trajectories were post-processed in AMBERTools17 and VMD-1.9.3 packages. Results: Our simulations confirm that proflavine-DNA minor groove-bound complexes are stable in the 50 ns time range but there are some structural rearrangements in them with respect to the initial structures. The narrowing of the DNA minor groove is observed in the proflavine binding site. In proflavine-poly(dCG)·poly(dCG) complex it is more pronounced and is accompanied by the BI/BII transitions in DNA and the reorientation of ligand. In proflavine-poly(dA)·poly(dT) complex the specific intermolecular hydrogen bonds are formed, which are optimized by the changes in opening and propeller twisting of involved AT-base pairs. Complexes are stabilized by the van der Waals and hydrophobic interactions, which are more favorable in the proflavine-poly(dA)·poly(dT) complex. Conclusions: Our results show that the binding of proflavine to a minor groove of DNA induces the conformational changes in the DNA that are important for the resulting complex stability

    On the interaction of doxorubicin with polynucleotides

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    The interaction of doxorubicin (DX) with model polynucleotides poly(dG-dC)·poly(dG-dC) (polyGC), poly(dA-dT)·poly(dA-dT) (poly-AT), and calf thymus DNA has been studied by several spectroscopic techniques in phosphate buffer aqueous solutions. UV−vis, circular dichroism, and fluorescence spectroscopic data confirm that intercalation is the prevailing mode of interaction, and also reveal that the interaction with AT-rich regions leads to the transfer of excitation energy to DX not previously documented in the literature. Moreover, the DX affinity for AT sites has been found to be on the same order of magnitude as that reported for GC sites

    On the economic returns of Eco-Innovation: where do we stand?

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    The aim of the Chapter is to provide an overview on where we stand in terms of research and main findings on eco-innovations and their economic effects. Many theoretical and empirical contributions have tried to answer the question “Does it pay to be green?”, and a variety of heterogeneous answers have been given to date. For instance it is found to depend on who gets rewards, on where it can pay, on how it pays and on the typologies of innovations under scrutiny. The Chapter summarizes the available contributions assessing the economic performance effects of improvements in the environmental performances at various levels of analysis. Economic performance is either conceived through short-term measures, such as profitability, or longer term competitiveness measures, such as productivity. Later, it provides new empirical evidence on economic effects of eco-innovations using panel data from the Community Innovation Surveys on selected European countries and sectors.JRC.I.1-Modelling, Indicators and Impact Evaluatio
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