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Journal of Theoretical Biology
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Journal of Theoretical Biology
Article . 2012
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Optimality in DNA repair

Authors: Richard, Morgiane Carole; Fryett, Matthew; Miller, Samantha; Booth, Ian; Grebogi, Celso; Moura, Alessandro;

Optimality in DNA repair

Abstract

DNA within cells is subject to damage from various sources. Organisms have evolved a number of mechanisms to repair DNA damage. The activity of repair enzymes carries its own risk, however, because the repair of two nearby lesions may lead to the breakup of DNA and result in cell death. We propose a mathematical theory of the damage and repair process in the important scenario where lesions are caused in bursts. We use this model to show that there is an optimum level of repair enzymes within cells which optimises the cell's response to damage. This optimal level is explained as the best trade-off between fast repair and a low probability of causing double-stranded breaks. We derive our results analytically and test them using stochastic simulations, and compare our predictions with current biological knowledge.

Countries
United Kingdom, Germany
Related Organizations
Keywords

nucleotide excision-repair, Statistics and Probability, SOS response, DNA Repair, Cell Survival, QH301 Biology, DNA repair, Escherichia-coli, survival, Article, QH301, Modelling and Simulation, Immunology and Microbiology(all), Animals, Stochastic modelling, Medicine(all), mechanisms, Stochastic Processes, irradiation, Agricultural and Biological Sciences(all), Cell Death, Models, Genetic, Biochemistry, Genetics and Molecular Biology(all), Applied Mathematics, radiation, DNA Repair Enzymes, DNA damage, stochastic modelling, damage, mathematical-model, DNA Damage

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
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    impulse
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid