{"title":"从异质聚合 DNA 的呼吸动力学绘制 DNA 碱基对序列图:基于遗传算法的研究","authors":"Srijeeta Talukder","doi":"10.1007/s12039-024-02266-6","DOIUrl":null,"url":null,"abstract":"<div><p>A strategy to obtain the DNA base-pair sequence is proposed from the information of the time series data of the size fluctuations (breathing) of local denaturation zones (bubbles). In one of the previous publication of the author,<sup>1</sup> it was shown how the DNA stability parameters were evaluated from an equilibrium distribution profile of bubble opening for a known sequence of heteropolymeric DNA. This paper attempts to know whether the reverse could be done, i.e., by knowing the stability parameters and the distribution profile for an unknown DNA sequence, whether the proper base-pair sequence can be evaluated or not. To get the DNA sequence, a non-trivial search process has been used. The problem has been cast as one of optimization problem and stochastic optimizer Genetic Algorithm has been used to optimize the DNA sequence in order to reach the correct or objective equilibrium distribution profile. We have tested the strategy for three DNA sequences, L33B9, L42B18 and the promoter sequence of the T7 bacteriophage.</p><h3>Graphical abstract</h3><p>The DNA base pair sequence could be obtained from the information of the time series data of the size fluctuations (breathing) of local denaturation zones (bubbles). The problem has been cast as one of optimization problem and stochastic optimizer Genetic Algorithm.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":616,"journal":{"name":"Journal of Chemical Sciences","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping of DNA base-pair sequence from breathing dynamics of hetero-polymeric DNA: A genetic algorithm-based study\",\"authors\":\"Srijeeta Talukder\",\"doi\":\"10.1007/s12039-024-02266-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A strategy to obtain the DNA base-pair sequence is proposed from the information of the time series data of the size fluctuations (breathing) of local denaturation zones (bubbles). In one of the previous publication of the author,<sup>1</sup> it was shown how the DNA stability parameters were evaluated from an equilibrium distribution profile of bubble opening for a known sequence of heteropolymeric DNA. This paper attempts to know whether the reverse could be done, i.e., by knowing the stability parameters and the distribution profile for an unknown DNA sequence, whether the proper base-pair sequence can be evaluated or not. To get the DNA sequence, a non-trivial search process has been used. The problem has been cast as one of optimization problem and stochastic optimizer Genetic Algorithm has been used to optimize the DNA sequence in order to reach the correct or objective equilibrium distribution profile. We have tested the strategy for three DNA sequences, L33B9, L42B18 and the promoter sequence of the T7 bacteriophage.</p><h3>Graphical abstract</h3><p>The DNA base pair sequence could be obtained from the information of the time series data of the size fluctuations (breathing) of local denaturation zones (bubbles). The problem has been cast as one of optimization problem and stochastic optimizer Genetic Algorithm.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>\",\"PeriodicalId\":616,\"journal\":{\"name\":\"Journal of Chemical Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Chemical Sciences\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12039-024-02266-6\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical Sciences","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s12039-024-02266-6","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
根据局部变性区(气泡)大小波动(呼吸)的时间序列数据信息,提出了一种获取 DNA 碱基对序列的策略。在作者之前发表的一篇论文1 中,作者展示了如何根据已知异聚 DNA 序列的气泡开放平衡分布曲线来评估 DNA 的稳定性参数。本文试图了解是否可以反过来做,即通过了解未知 DNA 序列的稳定性参数和分布曲线,是否可以评估出正确的碱基对序列。为了获得 DNA 序列,我们使用了一个非难搜索过程。该问题被视为一个优化问题,随机优化器遗传算法被用来优化 DNA 序列,以达到正确或客观的平衡分布图。我们对 L33B9、L42B18 和 T7 噬菌体启动子序列这三种 DNA 序列进行了测试。图解摘要 DNA 碱基对序列可从局部变性区(气泡)大小波动(呼吸)的时间序列数据信息中获得。该问题是一个优化问题,采用随机优化遗传算法。
Mapping of DNA base-pair sequence from breathing dynamics of hetero-polymeric DNA: A genetic algorithm-based study
A strategy to obtain the DNA base-pair sequence is proposed from the information of the time series data of the size fluctuations (breathing) of local denaturation zones (bubbles). In one of the previous publication of the author,1 it was shown how the DNA stability parameters were evaluated from an equilibrium distribution profile of bubble opening for a known sequence of heteropolymeric DNA. This paper attempts to know whether the reverse could be done, i.e., by knowing the stability parameters and the distribution profile for an unknown DNA sequence, whether the proper base-pair sequence can be evaluated or not. To get the DNA sequence, a non-trivial search process has been used. The problem has been cast as one of optimization problem and stochastic optimizer Genetic Algorithm has been used to optimize the DNA sequence in order to reach the correct or objective equilibrium distribution profile. We have tested the strategy for three DNA sequences, L33B9, L42B18 and the promoter sequence of the T7 bacteriophage.
Graphical abstract
The DNA base pair sequence could be obtained from the information of the time series data of the size fluctuations (breathing) of local denaturation zones (bubbles). The problem has been cast as one of optimization problem and stochastic optimizer Genetic Algorithm.
期刊介绍:
Journal of Chemical Sciences is a monthly journal published by the Indian Academy of Sciences. It formed part of the original Proceedings of the Indian Academy of Sciences – Part A, started by the Nobel Laureate Prof C V Raman in 1934, that was split in 1978 into three separate journals. It was renamed as Journal of Chemical Sciences in 2004. The journal publishes original research articles and rapid communications, covering all areas of chemical sciences. A significant feature of the journal is its special issues, brought out from time to time, devoted to conference symposia/proceedings in frontier areas of the subject, held not only in India but also in other countries.