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231224s2016 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.24266
|2 doi
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|a eng
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| 100 |
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|a Sun, Haitao
|e verfasserin
|4 aut
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|a Theoretical study of excited states of DNA base dimers and tetramers using optimally tuned range-separated density functional theory
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|c 2016
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|a Text
|b txt
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|a ƒaComputermedien
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|a Date Completed 27.10.2016
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|a Date Revised 30.12.2016
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2015 Wiley Periodicals, Inc.
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|a Excited states of various DNA base dimers and tetramers including Watson-Crick H-bonding and stacking interactions have been investigated by time-dependent density functional theory using nonempirically tuned range-separated exchange (RSE) functionals. Significant improvements are found in the prediction of excitation energies and oscillator strengths, with results comparable to those of high-level coupled-cluster (CC) models (RI-CC2 and EOM-CCSD(T)). The optimally-tuned RSE functional significantly outperforms its non-tuned (default) version and widely-used B3LYP functional. Compared to those high-level CC benchmarks, the large mean absolute deviations of conventional functionals can be attributed to their inappropriate amount of exact exchange and large delocalization errors which can be greatly eliminated by tuning approach. Furthermore, the impacts of H-bonding and π-stacking interactions in various DNA dimers and tetramers are analyzed through peak shift of simulated absorption spectra as well as corresponding change of absorption intensity. The result indicates the stacking interaction in DNA tetramers mainly contributes to the hypochromicity effect. The present work provides an efficient theoretical tool for accurate prediction of optical properties and excited states of nucleobase and other biological systems. © 2015 Wiley Periodicals, Inc
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a DFT/TDDFT
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|a optimal tuning
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|a range-separated
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|a DNA
|2 NLM
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|a Zhang, Shian
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|4 aut
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|a Zhong, Cheng
|e verfasserin
|4 aut
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| 700 |
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|a Sun, Zhenrong
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 37(2016), 7 vom: 15. März, Seite 684-93
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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| 773 |
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|g volume:37
|g year:2016
|g number:7
|g day:15
|g month:03
|g pages:684-93
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|u http://dx.doi.org/10.1002/jcc.24266
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