Issue |
2014
SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
|
|
---|---|---|
Article Number | 05126 | |
Number of page(s) | 1 | |
Section | 5. Poster Session: a. Computational Nuclear Applications | |
DOI | https://doi.org/10.1051/snamc/201405126 | |
Published online | 06 June 2014 |
Comparison of DNA strand-break simulated with different DNA models
1 Department of Engineering Physics, Tsinghua University, Beijing, China
2 Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education, Beijing, China
3 Key Laboratory of High Energy Radiation Imaging Fundamental Science for National Defense, Beijing, China
4 Nuctech Company Limited, Beijing, China
* Corresponding Author, E-mail: qiurui@mail.tsinghua.edu.cn
In Monte Carlo simulation of DNA damage, the geometric model of DNA is of great importance. To study the influence of DNA model on the simulation of DNA damage, three DNA models were created in this paper. They were a volume model and two atomic models with different parameters. Direct DNA strand-break induced by low-energy electrons were simulated respectively with the three models. The results show that most of the energy depositions in the DNA segments do not lead to strand-breaks. The simple single strand-break (SSB) tends to be the predominant damage type, and the contribution of complex double strand-break (DSB) to the total DSB cannot be neglected. Among the yields of all the three DNA target models applied here, the yields of the volume model are the highest, the yields of the atomic model with double van der Waals radii (r) take the second place, whereas the yields of the atomic model with single r come last. On average, the ratios of SSB yields are approximately equivalent to the corresponding ratios of the models’ volume. However, there seems to be no clear relationship between the DSB yields and the models’ volume.
Key words: DNA strand-break / Monte Carlo simulation / DNA model
© Owned by the authors, published by EDP Sciences, 2014