A simulation study on the impact of nucleotide dihedral angles in DNA models on proton radiobiological effects
10.3760/cma.j.cn112271-20240731-00294
- VernacularTitle:DNA模型的核苷酸对间转角参数对质子放射生物学效应影响的模拟研究
- Author:
Ling HUA
1
;
Youfang LAI
;
Xianghui KONG
;
Tian LI
;
Chen LIN
;
Qiaoqiao HU
;
Yibao ZHANG
Author Information
1. 北京大学医学部医学技术研究院，北京 100191
- Publication Type:Journal Article
- Keywords:
Proton therapy;
Double-strand break yields;
Monte Carlo simulation;
Track structure;
DNA model
- From:
Chinese Journal of Radiological Medicine and Protection
2024;44(12):991-997
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To develop a simplified DNA model tailored for Monte Carlo track structure simulations and investigate the influence of microstructural variations at the scale of several base pairs on the physical simulation of proton-induced biological effects, providing a novel approach to enhance the efficiency of modeling and computational processes in proton radiotherapy simulations.Methods:A circular double-helix DNA molecule consisting of 4 362 base pairs was constructed based on the pBR322 plasmid structure. These molecules were evenly distributed without overlap within a spherical region at the center of a water phantom, representing the cellular nucleus. Integrated into the GPU-based gMicroMC code framework, the model facilitated simulations to calculate proton-induced double-strand break (DSB) yields across three distinct models with twist angles of 20°, 36°, and 72° between adjacent nucleotide pairs. Comparative analyses were conducted to assess differences among these models.Results:Intra-model analyses revealed a consistent decrease in proton-induced DSB yields with increasing initial energy. Under proton irradiation at different energies, the DSB yields for the three models followed the order 72°>36°>20°, with intergroup relative differences exceeding 34.6%. Comparative RBE calculations suggested that models with twist angles between 36° and 72° may better replicate proton-induced damage observed in V79 cells.Conclusions:By strategically simplifying the separation of macroscopic and microscopic levels of DNA structure, adjustments to microstructural parameters can be effectively implemented to refine the model, thereby enhancing the efficiency of modeling and physical simulations. This methodology shows potential as a model for simulating relative biological effectiveness (RBE) in proton therapy planning.
