Study of clustered damage in DNA after proton irradiation based on density-based spatial clustering of applications with noise algorithm

The deoxyribonucleic acid (DNA) molecule damage simulations with an atom level geometric model use the traversal algorithm that has the disadvantages of quite time-consuming, slow convergence and high-performance computer requirement. Therefore, this work presents a density-based spatial clustering...

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Vydané v:Sheng wu yi xue gong cheng xue za zhi Ročník 36; číslo 4; s. 633
Hlavní autori: Tang, Jing, Zhang, Pengcheng, Xiao, Qinfeng, Li, Jie, Gui, Zhiguo
Médium: Journal Article
Jazyk:Chinese
Vydavateľské údaje: China 25.08.2019
Predmet:
probability and statistics
density-based spatial clustering of applications with noise algorithm
indirect damage
Monte Carlo track structure method
clustered DNA damage
ISSN:1001-5515
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Shrnutí:The deoxyribonucleic acid (DNA) molecule damage simulations with an atom level geometric model use the traversal algorithm that has the disadvantages of quite time-consuming, slow convergence and high-performance computer requirement. Therefore, this work presents a density-based spatial clustering of applications with noise (DBSCAN) clustering algorithm based on the spatial distributions of energy depositions and hydroxyl radicals (·OH). The algorithm with probability and statistics can quickly get the DNA strand break yields and help to study the variation pattern of the clustered DNA damage. Firstly, we simulated the transportation of protons and secondary particles through the nucleus, as well as the ionization and excitation of water molecules by using Geant4-DNA that is the Monte Carlo simulation toolkit for radiobiology, and got the distributions of energy depositions and hydroxyl radicals. Then we used the damage probability functions to get the spatial distribution dataset of DNA damage points in a s
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1001-5515
DOI:10.7507/1001-5515.201812008