Dynamic DNA damage and repair modelling : bridging the gap between experimental damage readout and model structure

Weyland, Mathias; Thumser-Henner, Pauline; Rohrer Bley, Carla; Ulzega, Simone; Petri-Fink, Alke; Lattuada, Marco; Scheidegger, Stephan; Füchslin, Rudolf Marcel

doi:10.1007/978-3-030-21733-4_10

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20501

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	Dynamic DNA damage and repair modelling : bridging the gap between experimental damage readout and model structure
Authors:	Weyland, Mathias Thumser-Henner, Pauline Rohrer Bley, Carla Ulzega, Simone Petri-Fink, Alke Lattuada, Marco Scheidegger, Stephan Füchslin, Rudolf Marcel
et. al:	No
DOI:	10.1007/978-3-030-21733-4_10 10.21256/zhaw-20501
Proceedings:	Artificial Life and Evolutionary Computation
Editors of the parent work:	Cagnoni, Stefano Mordonini, Monica Pecori, Riccardo Roli, Andrea Villani, Marco
Page(s):	127
Pages to:	137
Conference details:	XIII International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Parma, Italy, 10-12 September 2018
Issue Date:	2019
Series:	Communications in Computer and Information Science
Series volume:	900
Publisher / Ed. Institution:	Springer
Publisher / Ed. Institution:	Cham
ISBN:	978-3-030-21732-7 978-3-030-21733-4
Language:	English
Subjects:	Computational medicine; Dynamic DNA damage/repair model; Comet assay (single cell gel electrophoresis); Differential evolution
Subject (DDC):	572: Biochemistry
Abstract:	In this work, a method is presented to map a set of experimentally obtained, time-resolved distributions to a dynamic model. Specifically, time-resolved comet assay readouts of cancer cells after application of ionizing radiation are mapped to the Multi-Hit-Repair model, a radiobiologically motivated dynamic model used to predict DNA damage and repair. Differential evolution is used for parameter-search to showcase the potential of this method, producing a prediction close to the experimental measurement. The results obtained from the parameter search are used to characterize aspects of the repair process. The method is compared to prior attempts of finding model parameters from dose-response curves, revealing that calibration is required to render the two comparable.
URI:	https://digitalcollection.zhaw.ch/handle/11475/20501
Fulltext version:	Accepted version
License (according to publishing contract):	Licence according to publishing contract
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Computational Life Sciences (ICLS)
Published as part of the ZHAW project:	Phantom- and Model-based Optimisation of Medical Imaging Modalities
Appears in collections:	Publikationen Life Sciences und Facility Management

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Weyland, M., Thumser-Henner, P., Rohrer Bley, C., Ulzega, S., Petri-Fink, A., Lattuada, M., Scheidegger, S., & Füchslin, R. M. (2019). Dynamic DNA damage and repair modelling : bridging the gap between experimental damage readout and model structure [Conference paper]. In S. Cagnoni, M. Mordonini, R. Pecori, A. Roli, & M. Villani (Eds.), Artificial Life and Evolutionary Computation (pp. 127–137). Springer. https://doi.org/10.1007/978-3-030-21733-4_10

Weyland, M. et al. (2019) ‘Dynamic DNA damage and repair modelling : bridging the gap between experimental damage readout and model structure’, in S. Cagnoni et al. (eds) Artificial Life and Evolutionary Computation. Cham: Springer, pp. 127–137. Available at: https://doi.org/10.1007/978-3-030-21733-4_10.

M. Weyland et al., “Dynamic DNA damage and repair modelling : bridging the gap between experimental damage readout and model structure,” in Artificial Life and Evolutionary Computation, 2019, pp. 127–137. doi: 10.1007/978-3-030-21733-4_10.

WEYLAND, Mathias, Pauline THUMSER-HENNER, Carla ROHRER BLEY, Simone ULZEGA, Alke PETRI-FINK, Marco LATTUADA, Stephan SCHEIDEGGER und Rudolf Marcel FÜCHSLIN, 2019. Dynamic DNA damage and repair modelling : bridging the gap between experimental damage readout and model structure. In: Stefano CAGNONI, Monica MORDONINI, Riccardo PECORI, Andrea ROLI und Marco VILLANI (Hrsg.), Artificial Life and Evolutionary Computation. Conference paper. Cham: Springer. 2019. S. 127–137. ISBN 978-3-030-21732-7

Weyland, Mathias, Pauline Thumser-Henner, Carla Rohrer Bley, Simone Ulzega, Alke Petri-Fink, Marco Lattuada, Stephan Scheidegger, and Rudolf Marcel Füchslin. 2019. “Dynamic DNA Damage and Repair Modelling : Bridging the Gap between Experimental Damage Readout and Model Structure.” Conference paper. In Artificial Life and Evolutionary Computation, edited by Stefano Cagnoni, Monica Mordonini, Riccardo Pecori, Andrea Roli, and Marco Villani, 127–37. Cham: Springer. https://doi.org/10.1007/978-3-030-21733-4_10.

Weyland, Mathias, et al. “Dynamic DNA Damage and Repair Modelling : Bridging the Gap between Experimental Damage Readout and Model Structure.” Artificial Life and Evolutionary Computation, edited by Stefano Cagnoni et al., Springer, 2019, pp. 127–37, https://doi.org/10.1007/978-3-030-21733-4_10.