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Study on Fractal Characteristics of the Coding Sequences in DNA
  • ISSN号:1001-604X
  • 期刊名称:《中国化学:英文版》
  • 时间:0
  • 分类:Q523[生物学—生物化学]
  • 作者机构:[1]School of Chemistry and Chemical Engineering, Sun Yat-Sen University, Guangzhou, Guangdong 510275, China, [2]State Key Laboratory of Chem/Biosensing and Chemometrics, Hunan University, Changsha, Hunan 410082, China
  • 相关基金:Project supported by the National Natural Science Foundation of China (Nos. 20475068 and 20575082), the Natural Science Foundation of Guangdong Province (No. 031577) and the Scientific Technology Project of Guangdong Province (No. 2005B30101003).
中文摘要:

Gridding 尺寸被执行了以便测量并且说明从人的基因编码序列的复杂性和自我类似。包括 exons,编码定序的 DNA 序列和一些随机的分数维的尺寸在这个工作被学习了。从人的染色体的 60 基因作为样品是选择,并且结果证明编码序列的全部的 gridding 尺寸比每 exon 的小。结论被随机的序列,并且由分数维的理论的联合与 Fourier 力量光谱支持,当它为有更多的 exons 的基因是矛盾的,一些信息可能通常在 introns 被存储时,有更少 exons 的基因能表达更多的信息,这推测了当它为有更多的 exons 的有更多的 exons 的基因是矛盾的时。这些结果是有用的理解 DNA 序列的复杂性。

英文摘要:

Gridding dimension has been carded out in order to measure and illustrate the complexity and self-similarity of coding sequences from human genes. The fractal dimensions of DNA sequences, including exons, coding sequences and some random ones have been studied in this work. The 60 genes from human genome were the choice as samples, and the results show that the gridding dimension of the whole coding sequences is smaller than that of every exon. The conclusion was corroborated by random sequences, and by combination of fractal theory with Fourier power spectrum, it speculated that gene with fewer exons could embody more information while it was contrary for gene with more exons and some information might be stored in introns generally. These results are helpful to understand the complexity of DNA sequences.

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期刊信息
  • 《中国化学:英文版》
  • 主管单位:
  • 主办单位:中国化学会
  • 主编:
  • 地址:上海市枫林路354号中科院上海有机化学研究所
  • 邮编:200032
  • 邮箱:
  • 电话:021-54925243
  • 国际标准刊号:ISSN:1001-604X
  • 国内统一刊号:ISSN:31-1547/O6
  • 邮发代号:4-646
  • 获奖情况:
  • 中国期刊方阵“双高”期刊
  • 国内外数据库收录:
  • 美国化学文摘(网络版),荷兰文摘与引文数据库,美国科学引文索引(扩展库),日本日本科学技术振兴机构数据库,英国英国皇家化学学会文摘
  • 被引量:175