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Exact numerical methods and stochastic simulation methods are developed to study the force stretching single RNA issue on the secondary structure level in equilibrium. By computing the force-extension curves on the constant force and the…

Biomolecules · Quantitative Biology 2016-09-08 Fei Liu , Bi-hui Zhu , Zhong-can Ou-Yang

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…

Biological Physics · Physics 2009-10-31 Peter Schuster , Walter Fontana

Matrix factorization techniques, especially Nonnegative Matrix Factorization (NMF), have been widely used for dimensionality reduction and interpretable data representation. However, existing NMF-based methods are inherently single-scale…

Machine Learning · Computer Science 2026-02-27 Jichao Zhang , Ran Miao , Limin Li

We apply spectral sequences to derive both an obstruction to the existence of $n$-fold prolongations and a topological classification. Prolongations have been used in the literature in an attempt to prove that every Engel structure on…

Symplectic Geometry · Mathematics 2012-09-06 Mirko Klukas , Bijan Sahamie

Rigid graph theory is an active area with many open problems, especially regarding embeddings in $\mathbb{R}^d$ or other manifolds, and tight upper bounds on their number for a given number of vertices. Our premise is to relate the number…

Algebraic Geometry · Mathematics 2020-07-06 Evangelos Bartzos , Ioannis Z. Emiris , Josef Schicho

The computer-aided folding of biomolecules, particularly RNAs, is one of the most difficult challenges in computational structural biology. RNA tetraloops are fundamental RNA motifs playing key roles in RNA folding and RNA-RNA and…

Biomolecules · Quantitative Biology 2016-09-28 Petra Kührová , Robert B. Best , Sandro Bottaro , Giovanni Bussi , Jiří Šponer , Michal Otyepka , Pavel Banáš

In this paper we experiment with using neural network structures to predict a protein's secondary structure ({\alpha} helix positions) from only its primary structure (amino acid sequence). We implement a fully connected neural network…

Machine Learning · Computer Science 2022-08-25 Sidharth Malhotra , Robin Walters

The dominant paradigm in origin of life research is that of an RNA world. However, despite experimental progress towards the spontaneous formation of RNA, the RNA world hypothesis still has its problems. Here, we introduce a novel…

Molecular Networks · Quantitative Biology 2017-01-31 Wim Hordijk

DNA nanoparticles with three-fold coordination have been observed to self-assemble in experiment into a network equivalent to the hexagonal (6.6.6) tiling, and a network equivalent to the 4.8.8 Archimedean tiling. Both networks are built…

Statistical Mechanics · Physics 2018-05-28 Zdenek Preisler , Barbara Sacca , Stephen Whitelam

Non-coding RNA (ncRNA) are RNA sequences which don't code for a gene but instead carry important biological functions. The task of ncRNA classification consists in classifying a given ncRNA sequence into its family. While it has been shown…

Genomics · Quantitative Biology 2019-05-17 Emanuele Rossi , Federico Monti , Michael Bronstein , Pietro Liò

RNA junctions are important structural elements of RNA molecules. They are formed when three or more helices come together in three-dimensional space. Recent studies have focused on the annotation and prediction of coaxial helical stacking…

Computational Engineering, Finance, and Science · Computer Science 2016-09-08 Lei Hua , Yang Song , Namhee Kim , Christian Laing , Jason T. L. Wang , Tamar Schlick

In cond-mat/9907125 the low-temperature behavior of a model for RNA secondary structure was studied. It is claimed that the model exhibits a breaking of the replica symmetry, since the width of the distribution P(q) of overlaps may converge…

Disordered Systems and Neural Networks · Physics 2009-10-31 Alexander K. Hartmann

Hierarchical structures exist in both linguistics and Natural Language Processing (NLP) tasks. How to design RNNs to learn hierarchical representations of natural languages remains a long-standing challenge. In this paper, we define two…

Computation and Language · Computer Science 2021-06-07 Zhaoxin Luo , Michael Zhu

Myriad viruses use positive-strand RNA molecules as their genomes. Far from being only a repository of genetic material, viral RNA performs numerous other functions mediated by its physical structure and chemical properties. In this…

Biological Physics · Physics 2024-09-27 Domen Vaupotič , Angelo Rosa , Rudolf Podgornik , Luca Tubiana , Anže Božič

Proteins are essential for life, and their structure determines their function. The protein secondary structure is formed by the folding of the protein primary structure, and the protein tertiary structure is formed by the bending and…

Biomolecules · Quantitative Biology 2024-03-11 Yanlin Zhou , Kai Tan , Xinyu Shen , Zheng He , Haotian Zheng

Recurrent neural networks (RNNs) are a class of neural networks that have emerged from the paradigm of artificial intelligence and has enabled lots of interesting advances in the field of natural language processing. Interestingly, these…

Disordered Systems and Neural Networks · Physics 2024-01-17 Mohamed Hibat-Allah , Roger G. Melko , Juan Carrasquilla

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…

Combinatorics · Mathematics 2014-04-15 Benjamin Mingming Fu , Hillary Siwei Han , Christian M. Reidys

RNA forms elaborate secondary structures through intramolecular base pairing. These structures perform critical biological functions within each cell. Due to the availability of a polynomial algorithm to calculate the partition function…

Biomolecules · Quantitative Biology 2019-03-04 William D. Baez , Kay Jörg Wiese , Ralf Bundschuh

Mapping between sequence and structure is currently an open problem in structural biology. Despite many experimental and computational efforts it is not clear yet how the structure is encoded in the sequence. Answering this question may…

Biomolecules · Quantitative Biology 2013-10-08 Iddo Friedberg

This paper introduces a new class of efficient inter connection networks called as M-graphs for large multi-processor systems.The concept of M-matrix and M-graph is an extension of Mn-matrices and Mn-graphs.We analyze these M-graphs…

Information Theory · Computer Science 2007-07-13 R. N. Mohan , P. T. Kulkarni