匹配与RNA的内在模式。

IF 1.4 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS
Journal of Computational Biology Pub Date : 2025-01-01 Epub Date: 2024-12-23 DOI:10.1089/cmb.2024.0658
Célia Biane, Greg Hampikian, Sergey Kirgizov, Khaydar Nurligareev
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引用次数: 0

摘要

一个固定的(末端粘附的)模式是匹配中的弧的子集,这样对应的起始点是连续的,结束点也是如此。这种模式与排列是一一对应的。我们关注的是这种模式在假结匹配和原生(现实世界)RNA结构中的发生频率。我们提出了与模式21的分布和渐近行为相关的组合结果,模式21对应于RNA中经常遇到的两个连续碱基对,模式12代表原型最小假结。我们发现,在匹配中,这两种模式是均匀分布的,这与我们在天然rna中发现的情况大不相同。我们还研究了大小为3的固有模式的分布,显示了模式在称为固有扭曲的转换下如何变化。最后,我们计算了具有假结的天然二级RNA结构中大小为2和3的固有模式的分布,并讨论了我们研究的可能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Endhered Patterns in Matchings and RNA.

An endhered (end-adhered) pattern is a subset of arcs in matchings, such that the corresponding starting points are consecutive, and the same holds for the ending points. Such patterns are in one-to-one correspondence with the permutations. We focus on the occurrence frequency of such patterns in matchings and native (real-world) RNA structures with pseudoknots. We present combinatorial results related to the distribution and asymptotic behavior of the pattern 21, which corresponds to two consecutive base pairs frequently encountered in RNA, and the pattern 12, representing the archetypal minimal pseudoknot. We show that in matchings these two patterns are equidistributed, which is quite different from what we can find in native RNAs. We also examine the distribution of endhered patterns of size 3, showing how the patterns change under the transformation called endhered twist. Finally, we compute the distributions of endhered patterns of size 2 and 3 in native secondary RNA structures with pseudoknots and discuss possible outcomes of our study.

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来源期刊
Journal of Computational Biology
Journal of Computational Biology 生物-计算机:跨学科应用
CiteScore
3.60
自引率
5.90%
发文量
113
审稿时长
6-12 weeks
期刊介绍: Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing in-depth statistical, mathematical, and computational analysis of methods, as well as their practical impact. Available only online, this is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics. Journal of Computational Biology coverage includes: -Genomics -Mathematical modeling and simulation -Distributed and parallel biological computing -Designing biological databases -Pattern matching and pattern detection -Linking disparate databases and data -New tools for computational biology -Relational and object-oriented database technology for bioinformatics -Biological expert system design and use -Reasoning by analogy, hypothesis formation, and testing by machine -Management of biological databases
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