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In silicoinvestigation of PARP-1 catalytic domains inholoandapostates for the design of high-affinity PARP-1 inhibitors

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Yurtsever, Mine
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Informa UK Limited

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The rational design of high-affinity inhibitors of poly-ADP-ribose polymerase-1 (PARP-1) is at the heart of modern anti-cancer drug design. While relevance of enzyme to DNA repair processes in cellular environment is firmly established, the structural and functional understanding of the main determinants for high-affinity ligands controlling PARP-1 activity is still lacking. The conserved active site of PARP-1 represents an ideal target for inhibitors and may offer a novel target at the treatment of breast cancer. To fill the gap in the structural knowledge, we report on the combination of molecular dynamics (MD) simulations, principal component analysis (PCA), and conformational analysis that analyzes in great details novel binding mode for a number of inhibitors at the PARP-1. While optimization of the binding affinity for original target is an important goal in the drug design, many of the promising molecules for treatment of the breast cancer are plagued by significant cardiotoxicity. One of the most common side-effects reported for a number of polymerase inhibitors is its off-target interactions with cardiac ion channels and hERG1 channel, in particular. Thus, selected candidate PARP-1 inhibitors were also screened <i>in silico</i> at the central cavities of hERG1 potassium ion channel.

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Journal of Enzyme Inhibition and Medicinal Chemistry

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1475-6366

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OPEN

Keywords

Molecular Modeling, Poly (ADP-Ribose) Polymerase-1, PARP-1, Discovery, Molecular Dynamics Simulation, Poly(ADP-ribose) Polymerase Inhibitors, Insights, Poly(Adp-Ribose) Polymerase, Structure-Activity Relationship, Apoenzymes, Crystal-Structures, Catalytic Domain, Humans, Computer Simulation, Breast-Cancer, Molecular-Dynamics, Dose-Response Relationship, Drug, Molecular Structure, Protein, Potent Inhibitors, Drug-Binding, Drug Design, Biocatalysis, MD Simulations, Poly(ADP-ribose) Polymerases, Prediction, Holoenzymes

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