π-Stacking between Casiopeinas® and DNA bases

Literature Information

Publication Date 2011-07-12
DOI 10.1039/C1CP20183B
Impact Factor 3.676
Authors

Rodrigo Galindo-Murillo, Joseelyne Hernandez-Lima, Mayra González-Rendón, Lena Ruíz-Azuara, Rafael Moreno-Esparza


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Abstract

Casiopeínas® are copper complexes with the general formula [Cu(N–N)(N–O)]NO3 and [Cu(N–N)(O–O)]NO3 where N–N denotes a substituted bipyridine or phenanthroline, N–O indicates α-aminoacidate or peptide and O–O represents acetylacetonate or salicylaldehyde. This family of compounds has been evaluated in vitro and in vivo showing cytotoxic, genotoxic, and antineoplastic activity. The action mechanism is still not completely elucidated, but the possibility exists that these compounds interact with DNA by intercalation due to the aromatic moiety. In this work we found, using the properties of the electron density of a π-complex model base–Casiopeína®–base, that the stacking mechanism between Casiopeínas® and DNA bases is due to an electron density deficiency of the ligand of the Casiopeína® which is compensated for by an electron transfer from adenines by a π–π interaction.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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