TY  - JOUR
AU  - Sakata, Dousatsu
AU  - Hirayama, Ryoichi
AU  - Shin, Wook-Geun
AU  - Belli, Mauro
AU  - Tabocchini, Maria A
AU  - Stewart, Robert D
AU  - Belov, Oleg
AU  - Bernal, Mario A
AU  - Bordage, Marie-Claude
AU  - Brown, Jeremy M.C.
AU  - Đorđević, Miloš
AU  - Emfietzoglou, Dimitris
AU  - Francis, Ziad
AU  - Guatelli, Susanna
AU  - Inaniwa, Taku
AU  - Ivanchenko, Vladimir
AU  - Karamitros, Mathieu
AU  - Kyriakou, Ioanna
AU  - Lampe, Nathanael
AU  - Li, Zhuxin
AU  - Meylan, Sylvain
AU  - Michelet, Claire
AU  - Nieminen, Petteri
AU  - Perrot, Yann
AU  - Petrović, Ivan M.
AU  - Ramos-Mendez, Jose
AU  - Ristić-Fira, Aleksandra
AU  - Santin, Giovanni
AU  - Schuemann, Jan
AU  - Tran, Hoang N
AU  - Villagrasa, Carmen
AU  - Incerti, Sebastien
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10573
AB  - Purpose: Track structure Monte Carlo (MC) codes have achieved successful outcomes in the quantitative investigation of radiation-induced initial DNA damage. The aim of the present study is to extend a Geant4-DNA radiobiological application by incorporating a feature allowing for the prediction of DNA rejoining kinetics and corresponding cell surviving fraction along time after irradiation, for a Chinese hamster V79 cell line, which is one of the most popular and widely investigated cell lines in radiobiology. Methods: We implemented the Two-Lesion Kinetics (TLK) model, originally proposed by Stewart, which allows for simulations to calculate residual DNA damage and surviving fraction along time via the number of initial DNA damage and its complexity as inputs. Results: By optimizing the model parameters of the TLK model in accordance to the experimental data on V79, we were able to predict both DNA rejoining kinetics at low linear energy transfers (LET) and cell surviving fraction. Conclusion: This is the first study to demonstrate the implementation of both the cell surviving fraction and the DNA rejoining kinetics with the estimated initial DNA damage, in a realistic cell geometrical model simulated by full track structure MC simulations at DNA level and for various LET. These simulation and model make the link between mechanistic physical/chemical damage processes and these two specific biological endpoints.
T2  - Physica Medica
T1  - Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA
VL  - 105
SP  - 102508
DO  - 10.1016/j.ejmp.2022.11.012
ER  - 

@article{
author = "Sakata, Dousatsu and Hirayama, Ryoichi and Shin, Wook-Geun and Belli, Mauro and Tabocchini, Maria A and Stewart, Robert D and Belov, Oleg and Bernal, Mario A and Bordage, Marie-Claude and Brown, Jeremy M.C. and Đorđević, Miloš and Emfietzoglou, Dimitris and Francis, Ziad and Guatelli, Susanna and Inaniwa, Taku and Ivanchenko, Vladimir and Karamitros, Mathieu and Kyriakou, Ioanna and Lampe, Nathanael and Li, Zhuxin and Meylan, Sylvain and Michelet, Claire and Nieminen, Petteri and Perrot, Yann and Petrović, Ivan M. and Ramos-Mendez, Jose and Ristić-Fira, Aleksandra and Santin, Giovanni and Schuemann, Jan and Tran, Hoang N and Villagrasa, Carmen and Incerti, Sebastien",
year = "2023",
abstract = "Purpose: Track structure Monte Carlo (MC) codes have achieved successful outcomes in the quantitative investigation of radiation-induced initial DNA damage. The aim of the present study is to extend a Geant4-DNA radiobiological application by incorporating a feature allowing for the prediction of DNA rejoining kinetics and corresponding cell surviving fraction along time after irradiation, for a Chinese hamster V79 cell line, which is one of the most popular and widely investigated cell lines in radiobiology. Methods: We implemented the Two-Lesion Kinetics (TLK) model, originally proposed by Stewart, which allows for simulations to calculate residual DNA damage and surviving fraction along time via the number of initial DNA damage and its complexity as inputs. Results: By optimizing the model parameters of the TLK model in accordance to the experimental data on V79, we were able to predict both DNA rejoining kinetics at low linear energy transfers (LET) and cell surviving fraction. Conclusion: This is the first study to demonstrate the implementation of both the cell surviving fraction and the DNA rejoining kinetics with the estimated initial DNA damage, in a realistic cell geometrical model simulated by full track structure MC simulations at DNA level and for various LET. These simulation and model make the link between mechanistic physical/chemical damage processes and these two specific biological endpoints.",
journal = "Physica Medica",
title = "Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA",
volume = "105",
pages = "102508",
doi = "10.1016/j.ejmp.2022.11.012"
}

Sakata, D., Hirayama, R., Shin, W., Belli, M., Tabocchini, M. A., Stewart, R. D., Belov, O., Bernal, M. A., Bordage, M., Brown, J. M.C., Đorđević, M., Emfietzoglou, D., Francis, Z., Guatelli, S., Inaniwa, T., Ivanchenko, V., Karamitros, M., Kyriakou, I., Lampe, N., Li, Z., Meylan, S., Michelet, C., Nieminen, P., Perrot, Y., Petrović, I. M., Ramos-Mendez, J., Ristić-Fira, A., Santin, G., Schuemann, J., Tran, H. N., Villagrasa, C.,& Incerti, S.. (2023). Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA. in Physica Medica, 105, 102508.
https://doi.org/10.1016/j.ejmp.2022.11.012

Sakata D, Hirayama R, Shin W, Belli M, Tabocchini MA, Stewart RD, Belov O, Bernal MA, Bordage M, Brown JM, Đorđević M, Emfietzoglou D, Francis Z, Guatelli S, Inaniwa T, Ivanchenko V, Karamitros M, Kyriakou I, Lampe N, Li Z, Meylan S, Michelet C, Nieminen P, Perrot Y, Petrović IM, Ramos-Mendez J, Ristić-Fira A, Santin G, Schuemann J, Tran HN, Villagrasa C, Incerti S. Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA. in Physica Medica. 2023;105:102508.
doi:10.1016/j.ejmp.2022.11.012 .

Sakata, Dousatsu, Hirayama, Ryoichi, Shin, Wook-Geun, Belli, Mauro, Tabocchini, Maria A, Stewart, Robert D, Belov, Oleg, Bernal, Mario A, Bordage, Marie-Claude, Brown, Jeremy M.C., Đorđević, Miloš, Emfietzoglou, Dimitris, Francis, Ziad, Guatelli, Susanna, Inaniwa, Taku, Ivanchenko, Vladimir, Karamitros, Mathieu, Kyriakou, Ioanna, Lampe, Nathanael, Li, Zhuxin, Meylan, Sylvain, Michelet, Claire, Nieminen, Petteri, Perrot, Yann, Petrović, Ivan M., Ramos-Mendez, Jose, Ristić-Fira, Aleksandra, Santin, Giovanni, Schuemann, Jan, Tran, Hoang N, Villagrasa, Carmen, Incerti, Sebastien, "Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA" in Physica Medica, 105 (2023):102508,
https://doi.org/10.1016/j.ejmp.2022.11.012 . .

TY  - JOUR
AU  - Shin, Wook-Geun
AU  - Sakata, Dousatsu
AU  - Lampe, Nathanael
AU  - Belov, Oleg
AU  - Tran, Ngoc Hoang
AU  - Petrović, Ivan M.
AU  - Ristić-Fira, Aleksandra
AU  - Đorđević, Miloš
AU  - Bernal, Mario A.
AU  - Bordage, Marie-Claude
AU  - Francis, Ziad
AU  - Kyriakou, Ioanna
AU  - Perrot, Yann
AU  - Sasaki, Takashi
AU  - Villagrasa, Carmen
AU  - Guatelli, Susanna
AU  - Breton, Vincent
AU  - Emfietzoglou, Dimitris
AU  - Incerti, Sebastien
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9961
AB  - Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remains a major scientific challenge, particularly for understanding the effects of low doses of ionizing radiation on living beings, such as the induction of carcinogenesis. A computational approach based on the Monte Carlo technique to simulate track structures in a biological medium is currently the most reliable method for calculating the early effects induced by ionizing radiation on DNA, the primary cellular target of such effects. The Geant4-DNA Monte Carlo toolkit can simulate not only the physical, but also the physico-chemical and chemical stages of water radiolysis. These stages can be combined with simplified geometric models of biological targets, such as DNA, to assess direct and indirect early DNA damage. In this study, DNA damage induced in a human fibroblast cell was evaluated using Geant4-DNA as a function of incident particle type (gammas, protons, and alphas) and energy. The resulting double-strand break yields as a function of linear energy transfer closely reproduced recent experimental data. Other quantities, such as fragment length distribution, scavengeable damage fraction, and time evolution of damage within an analytical repair model also supported the plausibility of predicting DNA damage using Geant4-DNA.The complete simulation chain application “molecularDNA”, an example for users of Geant4-DNA, will soon be distributed through Geant4.
T2  - Cancers
T2  - Cancers
T1  - A Geant4-DNA Evaluation of Radiation-Induced DNA Damage on a Human Fibroblast
VL  - 13
IS  - 19
SP  - 4940
DO  - 10.3390/cancers13194940
ER  - 

@article{
author = "Shin, Wook-Geun and Sakata, Dousatsu and Lampe, Nathanael and Belov, Oleg and Tran, Ngoc Hoang and Petrović, Ivan M. and Ristić-Fira, Aleksandra and Đorđević, Miloš and Bernal, Mario A. and Bordage, Marie-Claude and Francis, Ziad and Kyriakou, Ioanna and Perrot, Yann and Sasaki, Takashi and Villagrasa, Carmen and Guatelli, Susanna and Breton, Vincent and Emfietzoglou, Dimitris and Incerti, Sebastien",
year = "2021",
abstract = "Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remains a major scientific challenge, particularly for understanding the effects of low doses of ionizing radiation on living beings, such as the induction of carcinogenesis. A computational approach based on the Monte Carlo technique to simulate track structures in a biological medium is currently the most reliable method for calculating the early effects induced by ionizing radiation on DNA, the primary cellular target of such effects. The Geant4-DNA Monte Carlo toolkit can simulate not only the physical, but also the physico-chemical and chemical stages of water radiolysis. These stages can be combined with simplified geometric models of biological targets, such as DNA, to assess direct and indirect early DNA damage. In this study, DNA damage induced in a human fibroblast cell was evaluated using Geant4-DNA as a function of incident particle type (gammas, protons, and alphas) and energy. The resulting double-strand break yields as a function of linear energy transfer closely reproduced recent experimental data. Other quantities, such as fragment length distribution, scavengeable damage fraction, and time evolution of damage within an analytical repair model also supported the plausibility of predicting DNA damage using Geant4-DNA.The complete simulation chain application “molecularDNA”, an example for users of Geant4-DNA, will soon be distributed through Geant4.",
journal = "Cancers, Cancers",
title = "A Geant4-DNA Evaluation of Radiation-Induced DNA Damage on a Human Fibroblast",
volume = "13",
number = "19",
pages = "4940",
doi = "10.3390/cancers13194940"
}

Shin, W., Sakata, D., Lampe, N., Belov, O., Tran, N. H., Petrović, I. M., Ristić-Fira, A., Đorđević, M., Bernal, M. A., Bordage, M., Francis, Z., Kyriakou, I., Perrot, Y., Sasaki, T., Villagrasa, C., Guatelli, S., Breton, V., Emfietzoglou, D.,& Incerti, S.. (2021). A Geant4-DNA Evaluation of Radiation-Induced DNA Damage on a Human Fibroblast. in Cancers, 13(19), 4940.
https://doi.org/10.3390/cancers13194940

Shin W, Sakata D, Lampe N, Belov O, Tran NH, Petrović IM, Ristić-Fira A, Đorđević M, Bernal MA, Bordage M, Francis Z, Kyriakou I, Perrot Y, Sasaki T, Villagrasa C, Guatelli S, Breton V, Emfietzoglou D, Incerti S. A Geant4-DNA Evaluation of Radiation-Induced DNA Damage on a Human Fibroblast. in Cancers. 2021;13(19):4940.
doi:10.3390/cancers13194940 .

Shin, Wook-Geun, Sakata, Dousatsu, Lampe, Nathanael, Belov, Oleg, Tran, Ngoc Hoang, Petrović, Ivan M., Ristić-Fira, Aleksandra, Đorđević, Miloš, Bernal, Mario A., Bordage, Marie-Claude, Francis, Ziad, Kyriakou, Ioanna, Perrot, Yann, Sasaki, Takashi, Villagrasa, Carmen, Guatelli, Susanna, Breton, Vincent, Emfietzoglou, Dimitris, Incerti, Sebastien, "A Geant4-DNA Evaluation of Radiation-Induced DNA Damage on a Human Fibroblast" in Cancers, 13, no. 19 (2021):4940,
https://doi.org/10.3390/cancers13194940 . .

TY  - JOUR
AU  - Sakata, Dousatsu
AU  - Belov, Oleg
AU  - Bordage, Marie-Claude
AU  - Emfietzoglou, Dimitris
AU  - Guatelli, Susanna
AU  - Inaniwa, Taku
AU  - Ivanchenko, Vladimir
AU  - Karamitros, Mathieu
AU  - Kyriakou, Ioanna
AU  - Lampe, Nathanael
AU  - Petrović, Ivan M.
AU  - Ristić-Fira, Aleksandra
AU  - Shin, Wook-Geun
AU  - Incerti, Sebastien
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9751
AB  - Ionising radiation induced DNA damage and subsequent biological responses to it depend on the radiation's track-structure and its energy loss distribution pattern. To investigate the underlying biological mechanisms involved in such complex system, there is need of predicting biological response by integrated Monte Carlo (MC) simulations across physics, chemistry and biology. Hence, in this work, we have developed an application using the open source Geant4-DNA toolkit to propose a realistic "fully integrated" MC simulation to calculate both early DNA damage and subsequent biological responses with time. We had previously developed an application allowing simulations of radiation induced early DNA damage on a naked cell nucleus model. In the new version presented in this work, we have developed three additional important features: (1) modeling of a realistic cell geometry, (2) inclusion of a biological repair model, (3) refinement of DNA damage parameters for direct damage and indirect damage scoring. The simulation results are validated with experimental data in terms of Single Strand Break (SSB) yields for plasmid and Double Strand Break (DSB) yields for plasmid/human cell. In addition, the yields of indirect DSBs are compatible with the experimental scavengeable damage fraction. The simulation application also demonstrates agreement with experimental data of gamma -H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations.
T2  - Scientific Reports
T1  - Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA
VL  - 10
IS  - 1
SP  - 20788
DO  - 10.1038/s41598-020-75982-x
ER  - 

@article{
author = "Sakata, Dousatsu and Belov, Oleg and Bordage, Marie-Claude and Emfietzoglou, Dimitris and Guatelli, Susanna and Inaniwa, Taku and Ivanchenko, Vladimir and Karamitros, Mathieu and Kyriakou, Ioanna and Lampe, Nathanael and Petrović, Ivan M. and Ristić-Fira, Aleksandra and Shin, Wook-Geun and Incerti, Sebastien",
year = "2020",
abstract = "Ionising radiation induced DNA damage and subsequent biological responses to it depend on the radiation's track-structure and its energy loss distribution pattern. To investigate the underlying biological mechanisms involved in such complex system, there is need of predicting biological response by integrated Monte Carlo (MC) simulations across physics, chemistry and biology. Hence, in this work, we have developed an application using the open source Geant4-DNA toolkit to propose a realistic "fully integrated" MC simulation to calculate both early DNA damage and subsequent biological responses with time. We had previously developed an application allowing simulations of radiation induced early DNA damage on a naked cell nucleus model. In the new version presented in this work, we have developed three additional important features: (1) modeling of a realistic cell geometry, (2) inclusion of a biological repair model, (3) refinement of DNA damage parameters for direct damage and indirect damage scoring. The simulation results are validated with experimental data in terms of Single Strand Break (SSB) yields for plasmid and Double Strand Break (DSB) yields for plasmid/human cell. In addition, the yields of indirect DSBs are compatible with the experimental scavengeable damage fraction. The simulation application also demonstrates agreement with experimental data of gamma -H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations.",
journal = "Scientific Reports",
title = "Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA",
volume = "10",
number = "1",
pages = "20788",
doi = "10.1038/s41598-020-75982-x"
}

Sakata, D., Belov, O., Bordage, M., Emfietzoglou, D., Guatelli, S., Inaniwa, T., Ivanchenko, V., Karamitros, M., Kyriakou, I., Lampe, N., Petrović, I. M., Ristić-Fira, A., Shin, W.,& Incerti, S.. (2020). Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA. in Scientific Reports, 10(1), 20788.
https://doi.org/10.1038/s41598-020-75982-x

Sakata D, Belov O, Bordage M, Emfietzoglou D, Guatelli S, Inaniwa T, Ivanchenko V, Karamitros M, Kyriakou I, Lampe N, Petrović IM, Ristić-Fira A, Shin W, Incerti S. Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA. in Scientific Reports. 2020;10(1):20788.
doi:10.1038/s41598-020-75982-x .

Sakata, Dousatsu, Belov, Oleg, Bordage, Marie-Claude, Emfietzoglou, Dimitris, Guatelli, Susanna, Inaniwa, Taku, Ivanchenko, Vladimir, Karamitros, Mathieu, Kyriakou, Ioanna, Lampe, Nathanael, Petrović, Ivan M., Ristić-Fira, Aleksandra, Shin, Wook-Geun, Incerti, Sebastien, "Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA" in Scientific Reports, 10, no. 1 (2020):20788,
https://doi.org/10.1038/s41598-020-75982-x . .

TY  - JOUR
AU  - Bernal, Mario A.
AU  - Bordage, Marie Claude
AU  - Brown, Jeremy Michael Cooney
AU  - Davídková, Marie
AU  - Delage, E.
AU  - El Bitar, Ziad Ei
AU  - Enger, Shirin A.
AU  - Francis, Ziad
AU  - Guatelli, Susanna
AU  - Ivanchenko, Vladimir N.
AU  - Karamitros, Mathieu
AU  - Kyriakou, Ioanna
AU  - Maigne, Lydia
AU  - Meylan, Sylvain
AU  - Murakami, Kouichi
AU  - Okada, Shogo
AU  - Payno, H.
AU  - Perrot, Yann
AU  - Petrović, Ivan M.
AU  - Pham, Q. T.
AU  - Ristić-Fira, Aleksandra
AU  - Sasaki, Takashi
AU  - Stepan, Vaclav
AU  - Tran, Ngoc Hoang
AU  - Villagrasa, Carmen
AU  - Incerti, Sebastien
PY  - 2015
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/859
AB  - Understanding the fundamental mechanisms involved in the induction of biological damage by ionizing radiation remains a major challenge of todays radiobiology research. The Monte Carlo simulation of physical, physicochemical and chemical processes involved may provide a powerful tool for the simulation of early damage induction. The Geant4-DNA extension of the general purpose Monte Carlo Geant4 simulation toolkit aims to provide the scientific community with an open source access platform for the mechanistic simulation of such early damage. This paper presents the most recent review of the Geant4-DNA extension, as available to Geant4 users since June 2015 (release 10.2 Beta). In particular, the review includes the description of new physical models for the description of electron elastic and inelastic interactions in liquid water, as well as new examples dedicated to the simulation of physicochemical and chemical stages of water radiolysis. Several implementations of geometrical models of biological targets are presented as well, and the list of Geant4-DNA examples is described.
T2  - Physica Medica
T1  - Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit
VL  - 31
IS  - 8
SP  - 861
EP  - 874
DO  - 10.1016/j.ejmp.2015.10.087
ER  - 

@article{
author = "Bernal, Mario A. and Bordage, Marie Claude and Brown, Jeremy Michael Cooney and Davídková, Marie and Delage, E. and El Bitar, Ziad Ei and Enger, Shirin A. and Francis, Ziad and Guatelli, Susanna and Ivanchenko, Vladimir N. and Karamitros, Mathieu and Kyriakou, Ioanna and Maigne, Lydia and Meylan, Sylvain and Murakami, Kouichi and Okada, Shogo and Payno, H. and Perrot, Yann and Petrović, Ivan M. and Pham, Q. T. and Ristić-Fira, Aleksandra and Sasaki, Takashi and Stepan, Vaclav and Tran, Ngoc Hoang and Villagrasa, Carmen and Incerti, Sebastien",
year = "2015",
abstract = "Understanding the fundamental mechanisms involved in the induction of biological damage by ionizing radiation remains a major challenge of todays radiobiology research. The Monte Carlo simulation of physical, physicochemical and chemical processes involved may provide a powerful tool for the simulation of early damage induction. The Geant4-DNA extension of the general purpose Monte Carlo Geant4 simulation toolkit aims to provide the scientific community with an open source access platform for the mechanistic simulation of such early damage. This paper presents the most recent review of the Geant4-DNA extension, as available to Geant4 users since June 2015 (release 10.2 Beta). In particular, the review includes the description of new physical models for the description of electron elastic and inelastic interactions in liquid water, as well as new examples dedicated to the simulation of physicochemical and chemical stages of water radiolysis. Several implementations of geometrical models of biological targets are presented as well, and the list of Geant4-DNA examples is described.",
journal = "Physica Medica",
title = "Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit",
volume = "31",
number = "8",
pages = "861-874",
doi = "10.1016/j.ejmp.2015.10.087"
}

Bernal, M. A., Bordage, M. C., Brown, J. M. C., Davídková, M., Delage, E., El Bitar, Z. E., Enger, S. A., Francis, Z., Guatelli, S., Ivanchenko, V. N., Karamitros, M., Kyriakou, I., Maigne, L., Meylan, S., Murakami, K., Okada, S., Payno, H., Perrot, Y., Petrović, I. M., Pham, Q. T., Ristić-Fira, A., Sasaki, T., Stepan, V., Tran, N. H., Villagrasa, C.,& Incerti, S.. (2015). Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit. in Physica Medica, 31(8), 861-874.
https://doi.org/10.1016/j.ejmp.2015.10.087

Bernal MA, Bordage MC, Brown JMC, Davídková M, Delage E, El Bitar ZE, Enger SA, Francis Z, Guatelli S, Ivanchenko VN, Karamitros M, Kyriakou I, Maigne L, Meylan S, Murakami K, Okada S, Payno H, Perrot Y, Petrović IM, Pham QT, Ristić-Fira A, Sasaki T, Stepan V, Tran NH, Villagrasa C, Incerti S. Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit. in Physica Medica. 2015;31(8):861-874.
doi:10.1016/j.ejmp.2015.10.087 .

Bernal, Mario A., Bordage, Marie Claude, Brown, Jeremy Michael Cooney, Davídková, Marie, Delage, E., El Bitar, Ziad Ei, Enger, Shirin A., Francis, Ziad, Guatelli, Susanna, Ivanchenko, Vladimir N., Karamitros, Mathieu, Kyriakou, Ioanna, Maigne, Lydia, Meylan, Sylvain, Murakami, Kouichi, Okada, Shogo, Payno, H., Perrot, Yann, Petrović, Ivan M., Pham, Q. T., Ristić-Fira, Aleksandra, Sasaki, Takashi, Stepan, Vaclav, Tran, Ngoc Hoang, Villagrasa, Carmen, Incerti, Sebastien, "Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit" in Physica Medica, 31, no. 8 (2015):861-874,
https://doi.org/10.1016/j.ejmp.2015.10.087 . .