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
Pages: 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 (CCIS)
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 Applied Simulation (IAS)
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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