ArticleRadiation research2022
Impact of DNA Geometry and Scoring on Monte Carlo Track-Structure Simulations of Initial Radiation-Induced Damage.
Article in Radiation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Evaluation of radiation damage effects of low-energy Auger and conversion electrons emitted byScientific reports · 2026Article
- Investigation of relative biological effectiveness for protons, carbon and oxygen ion beams by DNA damage calculations in a fractal fibroblast cell geometry.Radiological physics and technology · 2026Article
- Quantifying DNA strand breaks from targeted alpha emittersEJNMMI physics · 2025Article
- Extending the microdosimetry gamma model (MGM) to estimate induced DNA damage and its complexity at macroscopic scale by protons and helium ions.Physics in medicine and biology · 2025Article
- CpG Methylation Protects DNA against Ionizing Radiation.The journal of physical chemistry. B · 2025Article
- Radiation-induced double-strand breaks by internal ex vivo irradiation of lymphocytes: Validation of a Monte Carlo simulation model using GATE and Geant4-DNA.Zeitschrift fur medizinische Physik · 2025Article
- The Biophysics of Flash Radiotherapy: Tools for Measuring Tumor and Normal Tissues Microenvironment.Antioxidants (Basel, Switzerland) · 2025Review
- AMBER: A Modular Model for Tumor Growth, Vasculature and Radiation Response.Bulletin of mathematical biology · 2024Article
- The Effects of Particle LET and Fluence on the Complexity and Frequency of Clustered DNA Damage.DNA · 2024Article
- Estimation of relative biological effectiveness ofEJNMMI physics · 2023Article
- High-LET radiation induces large amounts of rapidly-repaired sublethal damage.Scientific reports · 2023Article
- The complexity of DNA damage by radiation follows a Gamma distribution: insights from the Microdosimetric Gamma Model.Frontiers in oncology · 2023Article
- Towards the ionizing radiation induced bond dissociation mechanism in oxygen, water, guanine and DNA fragmentation: a density functional theory simulation.Scientific reports · 2022Article
- Article
- Radiobiological Modeling with Monte Carlo Tools - Simulating Cellular Responses to Ionizing Radiation.Technology in cancer research & treatmentReview
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Authors and funding
12 authors.
Funding
Abstract
Track structure Monte Carlo simulations are a useful tool to investigate the damage induced to DNA by ionizing radiation. These simulations usually rely on simplified geometrical representations of the DNA subcomponents. DNA damage is determined by the physical and physicochemical processes occurring within these volumes. In particular, damage to the DNA backbone is generally assumed to result in strand breaks. DNA damage can be categorized as direct (ionization of an atom part of the DNA molecule) or indirect (damage from reactive chemical species following water radiolysis). We also consider quasi-direct effects, i.e., damage originated by charge transfers after ionization of the hydration shell surrounding the DNA. DNA geometries are needed to account for the damage induced by ionizing radiation, and different geometry models can be used for speed or accuracy reasons. In this work, we use the Monte Carlo track structure tool TOPAS-nBio, built on top of Geant4-DNA, for simulation at the nanometer scale to evaluate differences among three DNA geometrical models in an entire cell nucleus, including a sphere/spheroid model specifically designed for this work. In addition to strand breaks, we explicitly consider the direct, quasi-direct, and indirect damage induced to DNA base moieties. We use results from the literature to determine the best values for the relevant parameters. For example, the proportion of hydroxyl radical reactions between base moieties was 80%, and between backbone, moieties was 20%, the proportion of radical attacks leading to a strand break was 11%, and the expected ratio of base damages and strand breaks was 2.5-3. Our results show that failure to update parameters for new geometric models can lead to significant differences in predicted damage yields.
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