Cargando…

Nonempirically Tuned Range-Separated DFT Accurately Predicts Both Fundamental and Excitation Gaps in DNA and RNA Nucleobases

Using a nonempirically tuned range-separated DFT approach, we study both the quasiparticle properties (HOMO–LUMO fundamental gaps) and excitation energies of DNA and RNA nucleobases (adenine, thymine, cytosine, guanine, and uracil). Our calculations demonstrate that a physically motivated, first-pri...

Descripción completa

Detalles Bibliográficos
Autores principales: Foster, Michael E., Wong, Bryan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2012
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3419459/
https://www.ncbi.nlm.nih.gov/pubmed/22904693
http://dx.doi.org/10.1021/ct300420f
Descripción
Sumario:Using a nonempirically tuned range-separated DFT approach, we study both the quasiparticle properties (HOMO–LUMO fundamental gaps) and excitation energies of DNA and RNA nucleobases (adenine, thymine, cytosine, guanine, and uracil). Our calculations demonstrate that a physically motivated, first-principles tuned DFT approach accurately reproduces results from both experimental benchmarks and more computationally intensive techniques such as many-body GW theory. Furthermore, in the same set of nucleobases, we show that the nonempirical range-separated procedure also leads to significantly improved results for excitation energies compared to conventional DFT methods. The present results emphasize the importance of a nonempirically tuned range-separation approach for accurately predicting both fundamental and excitation gaps in DNA and RNA nucleobases.