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RadPhysBio: A Radiobiological Database for the Prediction of Cell Survival upon Exposure to Ionizing Radiation.
Zanni, Vassiliki; Papakonstantinou, Dimitris; Kalospyros, Spyridon A; Karaoulanis, Dimitris; Biz, Gökay Mehmet; Manti, Lorenzo; Adamopoulos, Adam; Pavlopoulou, Athanasia; Georgakilas, Alexandros G.
Afiliação
  • Zanni V; DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campous, 15780 Athens, Greece.
  • Papakonstantinou D; Department of Life Sciences, University Paris-Saclay, Saint-Aubin, 91190 Paris, France.
  • Kalospyros SA; DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campous, 15780 Athens, Greece.
  • Karaoulanis D; School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.
  • Biz GM; DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campous, 15780 Athens, Greece.
  • Manti L; Naples Italy and Radiation Biophysics Laboratory, National Institute of Nuclear Physics (INFN), Section of Naples, Department of Physics "E. Pancini", University of Naples Federico II, 80138 Naples, Italy.
  • Adamopoulos A; Department of Medicine, Medical Physics Laboratory, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
  • Pavlopoulou A; Izmir Biomedicine and Genome Center (IBG), 35340 Balcova, Izmir, Turkey.
  • Georgakilas AG; Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, 35340 Balcova, Izmir, Turkey.
Int J Mol Sci ; 25(9)2024 Apr 26.
Article em En | MEDLINE | ID: mdl-38731948
ABSTRACT
Based on the need for radiobiological databases, in this work, we mined experimental ionizing radiation data of human cells treated with X-rays, γ-rays, carbon ions, protons and α-particles, by manually searching the relevant literature in PubMed from 1980 until 2024. In order to calculate normal and tumor cell survival α and ß coefficients of the linear quadratic (LQ) established model, as well as the initial values of the double-strand breaks (DSBs) in DNA, we used WebPlotDigitizer and Python programming language. We also produced complex DNA damage results through the fast Monte Carlo code MCDS in order to complete any missing data. The calculated α/ß values are in good agreement with those valued reported in the literature, where α shows a relatively good association with linear energy transfer (LET), but not ß. In general, a positive correlation between DSBs and LET was observed as far as the experimental values are concerned. Furthermore, we developed a biophysical prediction model by using machine learning, which showed a good performance for α, while it underscored LET as the most important feature for its prediction. In this study, we designed and developed the novel radiobiological 'RadPhysBio' database for the prediction of irradiated cell survival (α and ß coefficients of the LQ model). The incorporation of machine learning and repair models increases the applicability of our results and the spectrum of potential users.
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Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Radiação Ionizante / Radiobiologia / Sobrevivência Celular / Transferência Linear de Energia / Quebras de DNA de Cadeia Dupla Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Grécia

Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Radiação Ionizante / Radiobiologia / Sobrevivência Celular / Transferência Linear de Energia / Quebras de DNA de Cadeia Dupla Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Grécia