Classical and Quantum Mechanical Calculations of the Stacking Interaction of NdIII Complexes with Regular and Mismatched DNA Sequences.
Maria J Beltrán-LeivaIsabel Fuenzalida-ValdiviaPlinio Cantero-LópezAna Bulhões-FigueiraJans Alzate-MoralesDayán Páez-HernándezRamiro Arratia-PérezPublished in: The journal of physical chemistry. B (2019)
The design of organometallic complexes used as selective intercalators to bind and react at DNA mismatch sites has concentrated efforts in the last few years. In this context, lanthanides have received attention to be employed as active optical centers due to their spectroscopic properties. Despite the fact that there are several experimental data about synthesis and DNA binding of these compounds, theoretical analyses describing their interaction with DNA are scarce. To understand the binding to regular and mismatched DNA sequences as well as to determine the effect of the intercalation on the spectroscopic properties of the complexes, a complete theoretical study going from classical to relativistic quantum mechanics calculations has been performed on some lanthanide complexes with phenanthroline derivatives synthesized and characterized herein, viz. [Nd(NO3)3(H2O)(dppz-R)] with R = H, NO2-, CN- and their [Nd(NO3)3(H2O)(dpq)] analogue, which was computationally modeled. The results were in correct agreement with the available experimental data showing that dppz complexes have higher binding affinities to DNA than dpq one and supporting the idea that these complexes are not selective to mismatch sites in the sampled time scale. Finally, the spectroscopic analysis evidence an intercalative binding mode and made possible the elucidation of the emission mechanism of these systems. This approach is proposed as a benchmark study to extend this methodology on similar systems and constitutes the first theoretical insight in the interaction between DNA and lanthanide complexes.
Keyphrases
- circulating tumor
- single molecule
- cell free
- dna binding
- molecular dynamics
- molecular docking
- nucleic acid
- transcription factor
- electronic health record
- circulating tumor cells
- big data
- density functional theory
- squamous cell carcinoma
- high resolution
- molecular dynamics simulations
- artificial intelligence
- quantum dots
- deep learning
- high speed