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相关论文: Topology of RNA-RNA interaction structures

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In this paper we study properties of topological RNA structures, i.e.~RNA contact structures with cross-serial interactions that are filtered by their topological genus. RNA secondary structures within this framework are topological…

组合数学 · 数学 2016-06-23 Thomas J. X. Li , Christian M. Reidys

Interacting RNA complexes are studied via bicellular maps using a filtration via their topological genus. Our main result is a new bijection for RNA-RNA interaction structures and linear time uniform sampling algorithm for RNA complexes of…

组合数学 · 数学 2014-04-15 Benjamin Mingming Fu , Hillary Siwei Han , Christian M. Reidys

Shapes of interacting RNA complexes are studied using a filtration via their topological genus. A shape of an RNA complex is obtained by (iteratively) collapsing stacks and eliminating hairpin loops. This shape-projection preserves the…

组合数学 · 数学 2014-05-22 Benjamin MingMing Fu , Christian M. Reidys

In this paper we study $\gamma$-structures filtered by topological genus. $\gamma$-structures are a class of RNA pseudoknot structures that plays a key role in the context of polynomial time folding of RNA pseudoknot structures. A…

组合数学 · 数学 2012-02-07 Thomas J. X. Li , Christian M. Reidys

We present a novel topological classification of RNA secondary structures with pseudoknots. It is based on the topological genus of the circular diagram associated to the RNA base-pair structure. The genus is a positive integer number,…

生物大分子 · 定量生物学 2007-05-23 Michael Bon , Graziano Vernizzi , Henri Orland , A. Zee

Recently several minimum free energy (MFE) folding algorithms for predicting the joint structure of two interacting RNA molecules have been proposed. Their folding targets are interaction structures, that can be represented as diagrams with…

组合数学 · 数学 2010-06-22 Thomas J. X. Li , Christian M. Reidys

In this paper we study irreducibility in RNA structures. By RNA structure we mean RNA secondary as well as RNA pseudoknot structures. In our analysis we shall contrast random and minimum free energy (mfe) configurations. We compute various…

生物大分子 · 定量生物学 2009-02-24 Emma Y. Jin , Christian M. Reidys

RNA-RNA binding is an important phenomenon observed for many classes of non-coding RNAs and plays a crucial role in a number of regulatory processes. Recently several MFE folding algorithms for predicting the joint structure of two…

组合数学 · 数学 2010-06-16 Thomas J. X. Li , Christian M. Reidys

A topological RNA structure is derived from a diagram and its shape is obtained by collapsing the stacks of the structure into single arcs and by removing any arcs of length one. Shapes contain key topological, information and for fixed…

组合数学 · 数学 2014-03-13 Fenix W. D. Huang , Christian M. Reidys

RNA secondary structure is an important computational model to understand how genetic variation maps into phenotypic (structural) variation. Evolutionary innovation in RNA structures is facilitated by neutral networks, large connected sets…

种群与进化 · 定量生物学 2008-01-22 Sumedha , Olivier C Martin , Andreas Wagner

In this paper we introduce a novel, context-free grammar, {\it RNAFeatures$^*$}, capable of generating any RNA structure including pseudoknot structures (pk-structure). We represent pk-structures as orientable fatgraphs, which naturally…

形式语言与自动机理论 · 计算机科学 2016-05-10 Fenix W. D. Huang , Christian M. Reidys

The relationship between sequences and secondary structures or shapes in RNA exhibits robust statistical properties summarized by three notions: (1) the notion of a typical shape (that among all sequences of fixed length certain shapes are…

生物物理 · 物理学 2009-10-31 Peter Schuster , Walter Fontana

We consider the inverse-folding problem for RNA secondary structures: for a given (pseudo-knot-free) secondary structure find a sequence that has that structure as its ground state. If such a sequence exists, the structure is called…

生物物理 · 物理学 2015-06-26 Bernd Burghardt , Alexander K. Hartmann

In this paper we study canonical $\gamma$-structures, a class of RNA pseudoknot structures that plays a key role in the context of polynomial time folding of RNA pseudoknot structures. A $\gamma$-structure is composed by specific building…

组合数学 · 数学 2013-09-05 Hillary S. W. Han , Thomas J. X. Li , Christian M. Reidys

We propose a new topological characterization of RNA secondary structures with pseudoknots based on two topological invariants. Starting from the classic arc-representation of RNA secondary structures, we consider a model that couples both…

生物大分子 · 定量生物学 2016-10-19 Graziano Vernizzi , Henri Orland , A. Zee

We view the folding of RNA-sequences as a map that assigns a pattern of base pairings to each sequence, known as secondary structure. These preimages can be constructed as random graphs (i.e. the neutral networks associated to the structure…

adap-org · 物理学 2008-02-03 Christian V. Forst , Christian Reidys , Jacqueline Weber

We enumerate the number of RNA contact structures according to their genus, i.e. the topological character of their pseudoknots. By using a recently proposed matrix model formulation for the RNA folding problem, we obtain exact results for…

生物大分子 · 定量生物学 2009-11-10 G. Vernizzi , H. Orland , A. Zee

An RNA sequence is a word over an alphabet on four elements $\{A,C,G,U\}$ called bases. RNA sequences fold into secondary structures where some bases match one another while others remain unpaired. Pseudoknot-free secondary structures can…

数据结构与算法 · 计算机科学 2018-03-28 Édouard Bonnet , Paweł Rzążewski , Florian Sikora

In this paper we compute the bivariate generating function of $\gamma$-matchings over two backbones, filtered by the number of arcs and the topological genus. $\gamma$-matchings over two backbones are chord-diagrams, obtained via…

组合数学 · 数学 2013-11-05 Benjamin Mingming Fu , Christian M. Reidys

In this paper we present a sampling framework for RNA structures of fixed topological genus. We introduce a novel, linear time, uniform sampling algorithm for RNA structures of fixed topological genus $g$, for arbitrary $g>0$. Furthermore…

计算工程、金融与科学 · 计算机科学 2013-04-30 Fenix W. D. Huang , Markus E. Nebel , Christian M. Reidys
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