Etude des ADN glycosylases de la superfamille structurale Fpg/Nei par modélisation moléculaire, de nouvelles cibles thérapeutiques potentielles dans les stratégies anti-cancer

Abstract : The DNA, genetic information support, is frequently damaged by physical or chemical agents from endogenous (cell metabolism) and exogenous (UV, ionizing radiations, chemicals) factors whose effects are genotoxic. These deleterious DNA structural alterations are removed by many DNA repair mechanisms. Among them, the base excision repair (BER) is initiated by DNA glycosylases which recognize and remove damaged bases. In some anti-cancer strategies, the use of chemo- and radiotherapy is aimed to cancerous cells destruction by altering their DNA. In that specific context, DNA glycosylases repair the DNA of treated cells and induce unwanted resistance to treatments, making these enzymes interesting therapeutic targets. The purpose of this work is to deepen the repair mechanism knowledge of Fpg/Nei structural superfamily of DNA glycosylases using molecular modeling and designing inhibitors of these enzymes. Molecular dynamic simulations allowed us to study the « Lesion Capping Loop » (LCL) and to associate its role to substrate stabilization in the enzyme active site. We also studied some possible excision’s product release pathways and LCL implication in this phenomena by targeted molecular dynamic simulations (TMD-1). Furthermore, molecular dynamic simulations coupled to a blind molecular docking protocol allowed us to identify 2 possible main binding sites of potential inhibitiors. One of these binding sites corresponding to the hNEIL1 active site has been the object of a virtual screening of the Greenpharma database. This allowed us to identify potential inhibitors whom effects will be soon tested in vitro on the humain protein hNEIL1.
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Charlotte Rieux. Etude des ADN glycosylases de la superfamille structurale Fpg/Nei par modélisation moléculaire, de nouvelles cibles thérapeutiques potentielles dans les stratégies anti-cancer. Cancer. Université d'Orléans, 2017. Français. ⟨NNT : 2017ORLE2023⟩. ⟨tel-01820636⟩

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