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Mechanistic DNA damage simulations in Geant4-DNA part 1: A parameter study in a simplified geometry
Nathanael Lampe1, Mathieu Karamitros2, Vincent Breton3
1Université Clermont Auvergne, CNRS/IN2P3, Laboratoire de Physique Corpusculaire, F-63000 Clermont-Ferrand, France; Université de Bordeaux, CNRS/IN2P3, CENBG, F-33175 Gradignan, France.
Physics models and parameters significantly impact DNA damage simulations. Optimizing these factors, especially radical scavenging, is crucial for accurate mechanistic DNA damage modeling in Monte Carlo simulations.
Area of Science:
- Radiation physics
- Computational biology
- Radiochemistry
Background:
- Mechanistic modeling of DNA damage in Monte Carlo simulations is critical for understanding radiation effects.
- These simulations are highly sensitive to the parameters defining DNA damage, necessitating careful validation.
Purpose of the Study:
- To investigate the impact of different physics models and damage parameters on DNA damage estimation.
- To identify a consistent parameter set for mechanistic DNA damage simulations using Geant4-DNA.
Main Methods:
- Utilized a simple testing geometry within Geant4-DNA for mechanistic DNA damage simulations.
- Employed low energy electrons as primary particles to test various physics and damage model parameters.
- Focused on variations in scavenging and single-strand break induction parameters.
Main Results:
- The choice of physics model can alter the yield of physically induced strand breaks by up to a factor of two.
- Scavenging and physical/chemical single-strand break induction parameters showed even more significant consequences.
- A parameter set consistent with past studies was identified, highlighting the role of scavenging.
Conclusions:
- Physics models and parameter choices critically influence DNA damage simulation outcomes.
- Modeling of radical scavenging is essential for accurate simulation results.
- High-scavenging regimes (radicals within 1 nm of DNA) may offer a robust method for testing mechanistic DNA simulations.
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