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      Ligand substitutions between ruthenium–cymene compounds can control protein versus DNA targeting and anticancer activity

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          Abstract

          Ruthenium compounds have become promising alternatives to platinum drugs by displaying specific activities against different cancers and favourable toxicity and clearance properties. Nonetheless, their molecular targeting and mechanism of action are poorly understood. Here we study two prototypical ruthenium-arene agents—the cytotoxic antiprimary tumour compound [(η 6- p-cymene)Ru(ethylene-diamine)Cl]PF 6 and the relatively non-cytotoxic antimetastasis compound [(η 6- p-cymene)Ru(1,3,5-triaza-7-phosphaadamantane)Cl 2]—and discover that the former targets the DNA of chromatin, while the latter preferentially forms adducts on the histone proteins. Using a novel ‘atom-to-cell’ approach, we establish the basis for the surprisingly site-selective adduct formation behaviour and distinct cellular impact of these two chemically similar anticancer agents, which suggests that the cytotoxic effects arise largely from DNA lesions, whereas the protein adducts may be linked to the other therapeutic activities. Our study shows promise for developing new ruthenium drugs, via ligand-based modulation of DNA versus protein binding and thus cytotoxic potential, to target distinguishing epigenetic features of cancer cells.

          Abstract

          Ruthenium-cymene-based compounds are investigated as potential anticancer drugs. Here, Adhireksan et al. study two ruthenium-containing compounds with varying cytotoxicity and show that differences in ligand structure may explain their activity and binding to different subcellular targets.

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          Most cited references30

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          Generalized Gradient Approximation Made Simple.

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            Canonical sampling through velocity-rescaling

            We present a new molecular dynamics algorithm for sampling the canonical distribution. In this approach the velocities of all the particles are rescaled by a properly chosen random factor. The algorithm is formally justified and it is shown that, in spite of its stochastic nature, a quantity can still be defined that remains constant during the evolution. In numerical applications this quantity can be used to measure the accuracy of the sampling. We illustrate the properties of this new method on Lennard-Jones and TIP4P water models in the solid and liquid phases. Its performance is excellent and largely independent on the thermostat parameter also with regard to the dynamic properties.
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              The NCI60 human tumour cell line anticancer drug screen.

              The US National Cancer Institute (NCI) 60 human tumour cell line anticancer drug screen (NCI60) was developed in the late 1980s as an in vitro drug-discovery tool intended to supplant the use of transplantable animal tumours in anticancer drug screening. This screening model was rapidly recognized as a rich source of information about the mechanisms of growth inhibition and tumour-cell kill. Recently, its role has changed to that of a service screen supporting the cancer research community. Here I review the development, use and productivity of the screen, highlighting several outcomes that have contributed to advances in cancer chemotherapy.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                18 March 2014
                : 5
                : 3462
                Affiliations
                [1 ]Division of Structural Biology and Biochemistry, School of Biological Sciences, Nanyang Technological University , 60 Nanyang Drive, Singapore 637551, Singapore
                [2 ]Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL) , CH-1015 Lausanne, Switzerland
                [3 ]Computational Biophysics, German Research School for Simulation Sciences , D-52425 Jülich, Germany
                [4 ]Institute of Analytical Chemistry, University of Vienna , Waehringer Strasse 42, 1090 Vienna, Austria
                [5 ]Division of Molecular Genetics and Cell Biology, School of Biological Sciences, Nanyang Technological University , 60 Nanyang Drive, Singapore 637551, Singapore
                [6 ]Department of Chemistry, National University of Singapore , 3 Science Drive 3, Singapore 117543, Singapore
                [7 ]These authors contributed equally to this work
                [8 ]Present address: Department of Chemistry, Moscow State University, Leninskie gory, 119991 Moscow, Russia
                Author notes
                Article
                ncomms4462
                10.1038/ncomms4462
                3959212
                24637564
                9533154d-e156-49c0-9aa6-40dd6e93de20
                Copyright © 2014, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/

                History
                : 03 December 2013
                : 18 February 2014
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