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Related papers: Modelling the evolution of transcription factor bi…

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Somatic mutations in cancer cells affect various genomic elements disrupting important cell functions. In particular, mutations in DNA binding sites recognized by transcription factors can alter regulator binding affinities and expression…

Central to the functioning of a living cell is its ability to control the readout or expression of information encoded in the genome. In many cases, a single transcription factor protein activates or represses the expression of many genes.…

Molecular Networks · Quantitative Biology 2013-05-29 Aleksandra M. Walczak , Gapser Tkacik , William Bialek

Gene regulation in eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding region. We present a novel computational method to identify regulatory…

Biological Physics · Physics 2007-05-23 M. Caselle , F. Di Cunto , P. Provero

We study theoretically the in vitro evolution of a DNA sequence by binding to a transcription factor. Using a simple model of protein-DNA binding and available binding constants for the Mnt protein, we perform large-scale, realistic…

Condensed Matter · Physics 2009-11-10 Morten Kloster , Chao Tang

The interaction between proteins and DNA is a key driving force in a significant number of biological processes such as transcriptional regulation, repair, recombination, splicing, and DNA modification. The identification of DNA-binding…

Quantitative Methods · Quantitative Biology 2017-05-10 Hamid Reza Hassanzadeh , Pushkar Kolhe , Charles L. Isbell , May D. Wang

Motivation: Recent studies of genomic-scale regulatory networks suggested that a feed-forward loop (FFL) circuitry is a key component of many such networks. This led to a study of the functional properties of different FFL types, where the…

Molecular Networks · Quantitative Biology 2008-02-26 Yonatan Bilu

Gene regulation in Eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding region. We present a novel computational method to identify regulatory…

Disordered Systems and Neural Networks · Physics 2007-05-23 M. Caselle , F. Di Cunto , P. Provero

Transcription factors (TFs), the key players in transcriptional regulation, have attracted great experimental attention, yet the functions of most human TFs remain poorly understood. Recent capabilities in genome-wide protein binding…

Molecular Networks · Quantitative Biology 2016-02-23 Yong Fuga Li , Russ B. Altman

Transcription is a fundamental cellular process, and the first step of gene expression. In human cells, it depends on the binding to chromatin of various proteins, including RNA polymerases and numerous transcription factors (TFs).…

Bacterial plant pathogens rely on a battalion of transcription factors to fine-tune their response to changing environmental conditions and marshal the genetic resources required for successful pathogenesis. Prediction of transcription…

Genomics · Quantitative Biology 2013-06-27 Surya Saha , Magdalen Lindeberg

We propose a model that explains the hierarchical organization of proteins in fold families. The model, which is based on the evolutionary selection of proteins by their native state stability, reproduces patterns of amino acids conserved…

Statistical Mechanics · Physics 2007-05-23 Nikolay V. Dokholyan , Eugene I. Shakhnovich

We examine the binding of transcription factors to DNA in terms of an information transfer problem. The input of the noisy channel is the biophysical signal of a factor bound to a DNA site, and the output is a distribution of probable DNA…

Genomics · Quantitative Biology 2015-08-07 Yonatan Savir Jacob Kagan , Tsvi Tlusty

Signal processing in biological systems is delicately executed by specialised networks, which are modular assemblies of network motifs. The motifs are independently functional circuits found in enormous numbers in any living cell. A very…

Molecular Networks · Quantitative Biology 2016-12-08 Tarunendu Mapder

Transcription is regulated through binding factors to gene promoters to activate or repress expression, however, the mechanisms by which factors find targets remain unclear. Using single-molecule fluorescence microscopy, we determined in…

Biomolecules · Quantitative Biology 2017-04-11 Adam J. M. Wollman , Sviatlana Shashkova , Erik G. Hedlund , Rosmarie Friemann , Stefan Hohmann , Mark C. Leake

In unicellular organisms such as bacteria the same acquired mutations beneficial in one environment can be restrictive in another. However, evolving Escherichia coli populations demonstrate remarkable flexibility in adaptation. The…

Genomics · Quantitative Biology 2007-09-21 Carsten Marr , Marcel Geertz , Marc-Thorsten Huett , Georgi Muskhelishvili

Gene regulatory networks arise in all living cells, allowing the control of gene expression patterns. The study of their topology has revealed that certain subgraphs of interactions or "motifs" appear at anomalously high frequencies. We ask…

Molecular Networks · Quantitative Biology 2015-03-19 Z. Burda , A. Krzywicki , O. C. Martin , M. Zagorski

Transcription factor binding to the surface of DNA regulatory regions is one of the primary causes of regulating gene expression levels. A probabilistic approach to model protein-DNA interactions at the sequence level is through Position…

Biological Physics · Physics 2015-11-18 Jacob Clifford , Christoph Adami

Transcription factors (TFs) interact with a multitude of binding sites on DNA and partner proteins inside cells. We investigate how nonspecific binding/unbinding to such decoy binding sites affects the magnitude and time-scale of random…

Subcellular Processes · Quantitative Biology 2015-04-15 Mohammad Soltani , Pavol Bokes , Zachary Fox , Abhyudai Singh

There is now a certain consensus that Transcription Factors (TFs) reach their target sites, where they regulate gene transcription, via a mechanism dubbed facilitated diffusion (FD). In FD, the TF cycles between events of 3D-diffusion in…

Biomolecules · Quantitative Biology 2015-06-18 Carlo Guardiani , Massimo Cencini , Fabio Cecconi

Statistical analysis of alignments of large numbers of protein sequences has revealed "sectors" of collectively coevolving amino acids in several protein families. Here, we show that selection acting on any functional property of a protein,…

Biomolecules · Quantitative Biology 2019-04-26 Shou-Wen Wang , Anne-Florence Bitbol , Ned S. Wingreen