Modelling Cellular Response to Ionizing Radiation: Mechanistic, Semi-Mechanistic, and Phenomenological Approaches - A...

Area of Science:

• Radiation research
• Computational biology
• Biophysics

Background:

• Mathematical and computational modeling are integral to advancing radiation research.
• Understanding cellular responses to ionizing radiation is key to cancer treatment and risk assessment.
• Microdosimetry, pioneered in the 1950s, enabled detailed study of radiation mechanisms at cellular and sub-cellular levels.

Purpose of the Study:

• To review significant mathematical and computational models in microdosimetry and radiation research.
• To provide historical context for the development of these modeling approaches.
• To highlight the contributions of pioneers and educators in the field.

Main Methods:

• Review of published mathematical and computational models from microdosimetry proceedings and radiation research literature.
• Categorization of models into mechanistic, semi-mechanistic, and phenomenological approaches.
• Inclusion of simulations of radiation tracks, cell survival models, and DNA damage/repair models.

Main Results:

• Monte Carlo simulations are used for atomic and molecular level radiation track analysis.
• Models quantify energy deposition for DNA damage, such as single-strand breaks.
• Development of models for cell survival and DNA damage-repair mechanisms.

Conclusions:

• Mathematical and computational models have significantly advanced the understanding of radiation effects on cells.
• The historical development of these models spans from basic physics to complex biological responses.
• Continued innovation in modeling is essential for future progress in radiation research and its applications.