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Journal of Computational Biology
Article . 2014 . Peer-reviewed
License: Mary Ann Liebert TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2014
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article
Data sources: DBLP
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Zigzag Stacks and m -Regular Linear Stacks

Authors: William Y. C. Chen; Qiang-Hui Guo; Lisa Hui Sun; Jian Wang 0092;

Zigzag Stacks and m -Regular Linear Stacks

Abstract

The contact map of a protein fold is a graph that represents the patterns of contacts in the fold. It is known that the contact map can be decomposed into stacks and queues. RNA secondary structures are special stacks in which the degree of each vertex is at most one and each arc has length at least two. Waterman and Smith derived a formula for the number of RNA secondary structures of length $n$ with exactly $k$ arcs. H��ner zu Siederdissen et al. developed a folding algorithm for extended RNA secondary structures in which each vertex has maximum degree two. An equation for the generating function of extended RNA secondary structures was obtained by M��ller and Nebel by using a context-free grammar approach, which leads to an asymptotic formula. In this paper, we consider $m$-regular linear stacks, where each arc has length at least $m$ and the degree of each vertex is bounded by two. Extended RNA secondary structures are exactly $2$-regular linear stacks. For any $m\geq 2$, we obtain an equation for the generating function of the $m$-regular linear stacks. For given $m$, we can deduce a recurrence relation and an asymptotic formula for the number of $m$-regular linear stacks on $n$ vertices. To establish the equation, we use the reduction operation of Chen, Deng and Du to transform an $m$-regular linear stack to an $m$-reduced zigzag (or alternating) stack. Then we find an equation for $m$-reduced zigzag stacks leading to an equation for $m$-regular linear stacks.

28 pages, 14 figures

Related Organizations
Keywords

Models, Molecular, RNA Folding, Biomolecules (q-bio.BM), Quantitative Biology - Biomolecules, FOS: Biological sciences, FOS: Mathematics, Mathematics - Combinatorics, RNA, Thermodynamics, Combinatorics (math.CO), Algorithms, Software

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
bronze