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Updated: Oct 23, 2025

Investigation of Protein Recruitment to DNA Lesions Using 405 Nm Laser Micro-irradiation
Published on: March 20, 2018
TOPAS-nBio validation for simulating water radiolysis and DNA damage under low-LET irradiation
J Ramos-Méndez1, J A LaVerne2, N Domínguez-Kondo3
1Department of Radiation Oncology, University of California San Francisco, San Francisco, CA 94115, United States of America.
The Geant4-DNA simulation code was updated to accurately model water radiolysis and DNA damage. New parameters improve predictions of chemical species yields and single-strand break induction by radiation.
Area of Science:
- Physics and Chemistry of Radiation Interactions
- Computational Biology and Biophysics
- Monte Carlo Simulations
Background:
- Accurate simulation of the chemical stage of water radiolysis is crucial for understanding radiation-induced DNA damage.
- Existing Geant4-DNA code required revisions to better align with experimental observations.
- Integration of detailed DNA geometry with chemical kinetics is essential for precise damage prediction.
Purpose of the Study:
- To revise and validate the chemical stage of the Geant4-DNA Monte Carlo simulation code.
- To improve the accuracy of predicting time-dependent yields of radiolytic species in water.
- To accurately simulate DNA damage, specifically single-strand breaks (SSB), induced by low linear energy transfer radiation.
Main Methods:
- Updated reaction rate coefficients and adjusted the root-mean-square (RMS) displacement parameter for water molecules in Geant4-DNA.
- Validated the revised code (Geant4-DNA/TOPAS-nBio) by comparing predicted time-dependent G-values and scavenger effects with experimental data for pure liquid water.
- Integrated DNA geometry with chemistry simulations to estimate SSB yields induced by 137Cs gamma-ray radiolysis of plasmid DNA.
Main Results:
- The revised Geant4-DNA/TOPAS-nBio showed improved agreement with experimental data for time-dependent G-values and scavenger effects.
- Simulated SSB induction efficiencies for hydroxyl radicals (•OH) and hydrogen radicals (H•) agreed well with non-homogeneous kinetic and step-by-step Monte Carlo models.
- An RMS displacement of 1.24 nm and specific SSB efficiencies (24% for •OH, 0.5% for H•) provided overall agreement with experimental uncertainties.
Conclusions:
- The enhanced Geant4-DNA/TOPAS-nBio code provides a fast, accurate, and user-friendly tool for simulating DNA damage.
- The simulation accurately predicts yields of radiolytic species and DNA damage under low LET irradiation.
- Further improvements in the spatial resolution of the DNA damage model may enhance agreement with direct experimental measurements.
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