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Related papers: RNA Dynamics from Experimental and Computational A…

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Motivation: Measurements of gene expression over time enable the reconstruction of transcriptional networks. However, Bayesian networks and many other current reconstruction methods rely on assumptions that conflict with the differential…

Molecular Networks · Quantitative Biology 2009-07-02 D. R. Bickel , Z. Montazeri , P. -C. Hsieh , M. Beatty , S. J. Lawit , N. J. Bate

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

Cellular behavior is governed by gene regulatory processes that are intrinsically dynamic and nonlinear, and are subject to non-negligible amounts of random fluctuations. Such conditions are ubiquitous in physical systems, where they have…

Molecular Networks · Quantitative Biology 2011-09-21 Jordi Garcia-Ojalvo

Computer simulations have become a very powerful tool for scientific research. Given the vast complexity that comes with many open scientific questions, a purely analytical or experimental approach is often not viable. For example,…

Neural and Evolutionary Computing · Computer Science 2016-07-12 Roman Bauer , Lukas Breitwieser , Alberto Di Meglio , Leonard Johard , Marcus Kaiser , Marco Manca , Manuel Mazzara , Max Talanov

Sequences of nucleotides (for DNA and RNA) or amino acids (for proteins) are central objects in biology. Among the most important computational problems is that of sequence alignment, i.e. arranging sequences from different organisms in…

Quantitative Methods · Quantitative Biology 2020-12-08 Anna Paola Muntoni , Andrea Pagnani , Martin Weigt , Francesco Zamponi

We review statistical-mechanical theories of single-molecule micromanipulation experiments on nucleic acids. First, models for describing polymer elasticity are introduced. We then review how these models are used to interpret…

Soft Condensed Matter · Physics 2007-05-23 S. Cocco , J. F. Marko , R. Monasson

The ribosome is a macromolecular complex which is responsible for protein synthesis in all living cells according to their transcribed genetic information. Using X-ray crystallography and, more recently, cryo-electron microscopy (cryo-EM),…

Biological Physics · Physics 2017-11-17 Lars V. Bock , Michal H. Kolář , Helmut Grubmüller

RNA-sequencing has revolutionized biomedical research and, in particular, our ability to study gene alternative splicing. The problem has important implications for human health, as alternative splicing may be involved in malfunctions at…

Applications · Statistics 2015-12-11 David Rossell , Camille Stephan-Otto Attolini , Manuel Kroiss , Almond Stöcker

The formation of DNA loops by proteins and protein complexes that bind at distal DNA sites plays a central role in many cellular processes, such as transcription, recombination, and replication. Here we review the basic thermodynamic…

Molecular Networks · Quantitative Biology 2007-05-23 Jose M. G. Vilar , Leonor Saiz

Ribonucleic Acid (RNA) can fold into shapes that perform functions in the cell. These foldings are governed by Watson-Crick base pairing, namely Adenine to Uracil and Cytosine to Guanine (A-U and G-C). The properties of the H-P…

Combinatorics · Mathematics 2018-12-18 Ben Y. Maron

The regulAS software package is a bioinformatics tool designed to support computational biology researchers in investigating regulatory mechanisms of splicing alterations through integrative analysis of large-scale RNA-Seq data from cancer…

Genomics · Quantitative Biology 2023-07-26 Sofya Lipnitskaya

Owing to its longevity and enormous information density, DNA, the molecule encoding biological information, has emerged as a promising archival storage medium. However, due to technological constraints, data can only be written onto many…

Emerging Technologies · Computer Science 2018-03-12 Reinhard Heckel , Gediminas Mikutis , Robert N. Grass

Evolutionary accumulation models (EvAMs) are an emerging class of machine learning methods designed to infer the evolutionary pathways by which features are acquired. Applications include cancer evolution (accumulation of mutations),…

Populations and Evolution · Quantitative Biology 2026-03-13 Iain G. Johnston

The cell cycle is one of the most fundamental biological processes important for understanding normal physiology and various pathologies such as cancer. Single cell RNA sequencing technologies give an opportunity to analyse the cell cycle…

Quantitative Methods · Quantitative Biology 2022-08-11 Alexander Chervov , Andrei Zinovyev

Deep learning has become a powerful tool in computational biology, revolutionising the analysis and interpretation of biological data over time. In our article review, we delve into various aspects of deep learning in computational biology.…

Biological phenomena differ significantly from physical phenomena. At the heart of this distinction is the fact that biological entities have computational abilities and thus they are inherently difficult to predict. This is the reason why…

Molecular Networks · Quantitative Biology 2009-09-29 Pau Fernandez , Ricard V. Sole

The whole complex process to obtain a protein encoded by a gene is difficult to include in a mathematical model. There are many models for describing different aspects of a genetic network. Finding a better model is one of the most…

Dynamical Systems · Mathematics 2007-05-23 Maria A. Avino-Diaz , Humberto Ortiz , Oscar Moreno

Non-coding RNA structure and function are essential to understanding various biological processes, such as cell signaling, gene expression, and post-transcriptional regulations. These are all among the core problems in the RNA field. With…

Quantitative Methods · Quantitative Biology 2022-08-09 Jiayang Chen , Zhihang Hu , Siqi Sun , Qingxiong Tan , Yixuan Wang , Qinze Yu , Licheng Zong , Liang Hong , Jin Xiao , Tao Shen , Irwin King , Yu Li

Enzyme is the major workhorse to carry out the diverse cellular functions. It catalyzes the biological reactions with a high specificity, with its topology playing a crucial role. For ecologically safe production of numerous bioproducts…

Biomolecules · Quantitative Biology 2021-06-04 Prabha Sankara Narayanan , Ashish Runthala

Some recent efforts in compiling data for astrophysical purposes are introduced, which were discussed during a JINA-CARINA Collaboration meeting on "Nuclear Physics Data Compilation for Nucleosynthesis Modeling" held at the ECT* in Trento/…

Astrophysics · Physics 2010-12-13 I. Dillmann , the JINA-CARINA Collaboration
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