正式验证证实了p53蛋白在细胞命运决定机制中的作用。

IF 1.3 4区 生物学 Q3 BIOLOGY
Eman Abdelaziz Mahmoud, Mostafa Herajy, Ibrahim E Ziedan, Hazem I Shehata
{"title":"正式验证证实了p53蛋白在细胞命运决定机制中的作用。","authors":"Eman Abdelaziz Mahmoud,&nbsp;Mostafa Herajy,&nbsp;Ibrahim E Ziedan,&nbsp;Hazem I Shehata","doi":"10.1007/s12064-022-00381-x","DOIUrl":null,"url":null,"abstract":"<p><p>The bio-cell cycle is controlled by a complex biochemical network of signaling pathways. Modeling such challenging networks accurately is imperative for the understanding of their detailed dynamical behavior. In this paper, we construct, analyze, and verify a hybrid Petri net (HPN) model of a complex biochemical network that captures the role of an important protein (namely p53) in deciding the fate of the cell. We model the behavior of the cell nucleus and cytoplasm as two stochastic and continuous Petri nets, respectively, combined together into a single HPN. We use simulative model checking to verify three different properties that capture the dynamical behavior of p53 protein with respect to the intensity of the ionizing radiation (IR) to which the cell is exposed. For each IR dose, 1000 simulation runs are carried out to verify each property. Our verification results showed that the fluctuations in p53, which relies on IR intensity, are compatible with the findings of the preceding simulation studies that have previously examined the role of p53 in cell fate decision.</p>","PeriodicalId":54428,"journal":{"name":"Theory in Biosciences","volume":"142 1","pages":"29-45"},"PeriodicalIF":1.3000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925526/pdf/","citationCount":"1","resultStr":"{\"title\":\"Formal verification confirms the role of p53 protein in cell fate decision mechanism.\",\"authors\":\"Eman Abdelaziz Mahmoud,&nbsp;Mostafa Herajy,&nbsp;Ibrahim E Ziedan,&nbsp;Hazem I Shehata\",\"doi\":\"10.1007/s12064-022-00381-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The bio-cell cycle is controlled by a complex biochemical network of signaling pathways. Modeling such challenging networks accurately is imperative for the understanding of their detailed dynamical behavior. In this paper, we construct, analyze, and verify a hybrid Petri net (HPN) model of a complex biochemical network that captures the role of an important protein (namely p53) in deciding the fate of the cell. We model the behavior of the cell nucleus and cytoplasm as two stochastic and continuous Petri nets, respectively, combined together into a single HPN. We use simulative model checking to verify three different properties that capture the dynamical behavior of p53 protein with respect to the intensity of the ionizing radiation (IR) to which the cell is exposed. For each IR dose, 1000 simulation runs are carried out to verify each property. Our verification results showed that the fluctuations in p53, which relies on IR intensity, are compatible with the findings of the preceding simulation studies that have previously examined the role of p53 in cell fate decision.</p>\",\"PeriodicalId\":54428,\"journal\":{\"name\":\"Theory in Biosciences\",\"volume\":\"142 1\",\"pages\":\"29-45\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925526/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theory in Biosciences\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s12064-022-00381-x\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory in Biosciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s12064-022-00381-x","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 1

摘要

生物细胞周期是由一个复杂的生化信号通路网络控制的。对这种具有挑战性的网络进行精确建模对于理解其详细的动力学行为是必要的。在本文中,我们构建、分析并验证了一个复杂生化网络的混合Petri网(HPN)模型,该模型捕获了一种重要蛋白质(即p53)在决定细胞命运中的作用。我们将细胞核和细胞质的行为建模为两个随机和连续的Petri网,分别组合在一起成为一个单一的HPN。我们使用模拟模型检查来验证三种不同的特性,这些特性捕获了p53蛋白相对于细胞暴露的电离辐射(IR)强度的动态行为。对于每个红外剂量,进行1000次模拟运行以验证每个属性。我们的验证结果表明,p53的波动依赖于红外强度,与之前的模拟研究结果一致,这些研究先前研究了p53在细胞命运决定中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Formal verification confirms the role of p53 protein in cell fate decision mechanism.

Formal verification confirms the role of p53 protein in cell fate decision mechanism.

Formal verification confirms the role of p53 protein in cell fate decision mechanism.

Formal verification confirms the role of p53 protein in cell fate decision mechanism.

The bio-cell cycle is controlled by a complex biochemical network of signaling pathways. Modeling such challenging networks accurately is imperative for the understanding of their detailed dynamical behavior. In this paper, we construct, analyze, and verify a hybrid Petri net (HPN) model of a complex biochemical network that captures the role of an important protein (namely p53) in deciding the fate of the cell. We model the behavior of the cell nucleus and cytoplasm as two stochastic and continuous Petri nets, respectively, combined together into a single HPN. We use simulative model checking to verify three different properties that capture the dynamical behavior of p53 protein with respect to the intensity of the ionizing radiation (IR) to which the cell is exposed. For each IR dose, 1000 simulation runs are carried out to verify each property. Our verification results showed that the fluctuations in p53, which relies on IR intensity, are compatible with the findings of the preceding simulation studies that have previously examined the role of p53 in cell fate decision.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信