Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33605
Title: Cleaving DNA with DNA: Cooperative Tuning of Structure and Reactivity Driven by Copper Ions
Authors: Dantu, SC
Khalil, M
Bria, M
Saint-Pierre, C
Orio, M
Gasparutto, D
Sicoli, G
Issue Date: 28-Feb-2024
Citation: Dantu, S.C. et al. (2024) 'Cleaving DNA with DNA: Cooperative tuning of structure and reactivity driven by copper ions', Advanced Science, 11(16), 2306710. https://doi.org/10.1002/advs.202306710
Abstract: A copper-dependent self-cleaving DNA (DNAzyme or deoyxyribozyme) previously isolated by in vitro selection has been analyzed by a combination of Molecular Dynamics (MD) simulations and advanced Electron Paramagnetic Resonance (Electron Spin Resonance) EPR/ESR spectroscopy, providing insights on the structural and mechanistic features of the cleavage reaction. The modeled 46-nucleotide deoxyribozyme in MD simulations forms duplex and triplex sub-structures that flank a highly conserved catalytic core. The DNA self-cleaving construct can also form a bimolecular complex that has a distinct substrate and enzyme domains. The highly dynamic structure combined with an oxidative site-specific cleavage of the substrate are two key-aspects to elucidate. By combining EPR/ESR spectroscopy with selectively isotopically labeled nucleotides it has been possible to overcome the major drawback related to the “metal-soup” scenario, also known as “super-stoichiometric” ratios of cofactors versus substrate, conventionally required for the DNA cleavage reaction within those nucleic acids-based enzymes. The focus on the endogenous paramagnetic center (Cu2+) here described paves the way for analysis on mixtures where several different cofactors are involved. Furthermore, the insertion of cleavage reaction within more complex architectures is now a realistic perspective towards the applicability of EPR/ESR spectroscopic studies.
URI: https://bura.brunel.ac.uk/handle/2438/33605
DOI: http://dx.doi.org/10.1002/advs.202306710
ISSN: 2306710
Other Identifiers: 2306710
Appears in Collections:Department of Computer Science Research Papers



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