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Storage and retrieval of the genetic information in cells is a dynamic process that requires the DNA to undergo dramatic structural rearrangements. DNA looping is a prominent example of such a structural rearrangement that is essential for…

Biological Physics · Physics 2015-01-07 Yi-Ju Chen , Stephanie Johnson , Peter Mulligan , Andrew J. Spakowitz , Rob Phillips

In many cases, transcriptional regulation involves the binding of transcription factors at sites on the DNA that are not immediately adjacent to the promoter of interest. This action at a distance is often mediated by the formation of DNA…

Biomolecules · Quantitative Biology 2015-05-13 Lin Han , Hernan G. Garcia , Seth Blumberg , Kevin B. Towles , John F. Beausang , Philip C. Nelson , Rob Phillips

A Markov state model is a powerful tool that can be used to track the evolution of populations of configurations in an atomistic representation of a protein. For a coarse-grained linear chain model with discontinuous interactions, the…

Soft Condensed Matter · Physics 2024-02-06 Margarita Colberg , Jeremy Schofield

DNA looping plays a fundamental role in a wide variety of biological processes, providing the backbone for long range interactions on DNA. Here we develop the first model for DNA looping by an arbitrarily large number of proteins and solve…

Subcellular Processes · Quantitative Biology 2007-05-23 Jose M. G. Vilar , Leonor Saiz

The spatial organization of DNA involves DNA loop extrusion and the formation of protein-DNA condensates. While the significance of each process is increasingly recognized, their interplay remains unexplored. Using molecular dynamics…

Biological Physics · Physics 2025-01-31 Ryota Takaki , Yahor Savich , Jan Brugués , Frank Jülicher

We propose a Bayesian hidden Markov model for analyzing time series and sequential data where a special structure of the transition probability matrix is embedded to model explicit-duration semi-Markovian dynamics. Our formulation allows…

Methodology · Statistics 2022-05-23 Beniamino Hadj-Amar , Jack Jewson , Mark Fiecas

A hidden Markov process is a well known concept in information theory and is used for a vast range of applications such as speech recognition and error correction. We bridge between two disciplines, experimental physics and advanced…

Mesoscale and Nanoscale Physics · Physics 2015-06-24 Ido Kanter , Aviad Frydman , Asaf Ater

Single-molecule force spectroscopy has proven to be a powerful tool for studying the kinetic behavior of biomolecules. Through application of an external force, conformational states with small or transient populations can be stabilized,…

The dynamics of short-lived mRNA results in bursts of protein production in gene regulatory networks. We investigate the propagation of bursting noise between different levels of mathematical modelling, and demonstrate that conventional…

Molecular Networks · Quantitative Biology 2016-01-14 Yen Ting Lin , Tobias Galla

Loop extrusion convincingly describes how certain Structural Maintenance of Chromosome (SMC) proteins mediate the formation of large DNA loops. Yet, most of the existing computational models cannot reconcile recent in vitro observations…

Soft Condensed Matter · Physics 2022-01-12 Andrea Bonato , Davide Michieletto

It is well known that the structural deformations (stressed states) of DNA molecule play a crucial role in its biological functions including gene expression. For instance, looping in DNA (often mediated by protein binding) is a crucial…

Biological Physics · Physics 2007-05-23 Sachin Goyal , Noel C. Perkins

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

Genetic information is stored in a linear sequence of base-pairs; however, thermal fluctuations and complex DNA conformations such as folds and loops make it challenging to order genomic material for in vitro analysis. In this work, we…

Recent advances in deep learning frameworks have established valuable tools for analyzing the long-timescale behavior of complex systems such as proteins. Especially the inclusion of physical constraints, e.g. time-reversibility, was a…

Quantitative Methods · Quantitative Biology 2021-12-22 Andreas Mardt , Frank Noé

DNA looping is important in DNA condensation and regulation. One method for forming a DNA loop, thought to be used by the condensing agent protamine, is bind-and-bend. In bind-and-bend, molecules bind all along the DNA, each creating a bend…

Biological Physics · Physics 2023-11-06 Michael Liaofan Liu , Daniel W. Oo , Ryan B. McMillan , Ashley R. Carter

DNA-interacting proteins have roles multiple processes, many operating as molecular machines which undergo dynamic metastable transitions to bring about their biological function. To fully understand this molecular heterogeneity, DNA and…

Biomolecules · Quantitative Biology 2015-04-15 Adam J. M. Wollman , Helen Miller , Zhaokun Zhou , Mark C. Leake

Tethered Particle Motion (TPM) is a single molecule technique, which consists in tracking the motion of a nano-particle (NP) immersed in a fluid and tethered to a glass surface by a DNA molecule. The present work addresses the question of…

Biological Physics · Physics 2024-10-15 Marc Joyeux

We analyze the structure of DNA molecules of different organisms by using the additive Markov chain approach. Transforming nucleotide sequences into binary strings, we perform statistical analysis of the corresponding "texts". We develop…

Other Quantitative Biology · Quantitative Biology 2014-11-14 S. S. Melnik , O. V. Usatenko

Many structures inside the cell such as nucleosomes and protein-mediated DNA loops contain sharply bent double-stranded (ds) DNA. Therefore, the energetics of strong dsDNA bending constitutes an essential part of cellular thermodynamics.…

Biological Physics · Physics 2014-11-05 Tung T. Le , Harold D. Kim

A key question in brain sciences is how to identify time-evolving functional connectivity, such as that obtained from recordings of neuronal activity over time. We wish to explain the observed phenomena in terms of latent states which, in…

Methodology · Statistics 2026-05-14 Yiwei Gong , Susanna B. Mierau , Sinead A. Williamson