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Transcription factors are proteins that regulate the expression of genes by binding to specific genomic regions known as Transcription Factor Binding Sites (TFBSs), typically located in the promoter regions of those genes. Accurate…

Machine Learning · Computer Science 2025-02-04 Nimisha Ghosh , Pratik Dutta , Daniele Santoni

Much of the complexity observed in gene regulation originates from cooperative protein-DNA binding. While studies of the target search of proteins for their specific binding sites on the DNA have revealed design principles for the…

Biomolecules · Quantitative Biology 2015-05-30 Nico Geisel , Ulrich Gerland

Transcription factors (TFs) regulate gene expression through complex and co-operative mechanisms. While many TFs act together, the logic underlying TFs binding and their interactions is not fully understood yet. Most current approaches for…

Machine Learning · Computer Science 2026-03-13 Pietro Demurtas , Ferdinando Zanchetta , Giovanni Perini , Rita Fioresi

The binding of a transcription factor (TF) to a DNA operator site can initiate or repress the expression of a gene. Computational prediction of sites recognized by a TF has traditionally relied upon knowledge of several cognate sites,…

Biomolecules · Quantitative Biology 2008-11-10 Sahand Jamal Rahi , Peter Virnau , Leonid A. Mirny , Mehran Kardar

We present ensemble methods in a machine learning (ML) framework combining predictions from five known motif/binding site exploration algorithms. For a given TF the ensemble starts with position weight matrices (PWM's) for the motif,…

Genomics · Quantitative Biology 2018-05-11 Yue Fan , Mark Kon , Charles DeLisi

Genome-wide experiments to map the DNA-binding locations of transcription-associated factors (TFs) have shown that the number of genes bound by a TF far exceeds the number of possible direct target genes. Distinguishing functional from…

Genomics · Quantitative Biology 2022-11-29 Christopher J. Banks , Anagha Joshi , Tom Michoel

The identification of transcription factor binding sites (TFBSs) on genomic DNA is of crucial importance for understanding and predicting regulatory elements in gene networks. TFBS motifs are commonly described by Position Weight Matrices…

Genomics · Quantitative Biology 2015-04-28 Marc Santolini , Thierry Mora , Vincent Hakim

We study theoretical ``design principles'' for transcription factor-DNA interaction in bacteria, focusing particularly on the statistical interaction of the transcription factors (TF's) with the genomic background (i.e., the genome without…

Biological Physics · Physics 2009-11-07 Ulrich Gerland , J. David Moroz , Terence Hwa

Evolution of gene regulation is crucial for our understanding of the phenotypic differences between species, populations and individuals. Sequence-specific binding of transcription factors to the regulatory regions on the DNA is a key…

Populations and Evolution · Quantitative Biology 2015-11-09 Murat Tuğrul , Tiago Paixão , Nicholas H. Barton , Gašper Tkačik

One of the fundamental tasks in understanding genomics is the problem of predicting Transcription Factor Binding Sites (TFBSs). With more than hundreds of Transcription Factors (TFs) as labels, genomic-sequence based TFBS prediction is a…

Machine Learning · Computer Science 2017-11-13 Jack Lanchantin , Arshdeep Sekhon , Ritambhara Singh , Yanjun Qi

Problems of search and recognition appear over different scales in biological systems. In this review we focus on the challenges posed by interactions between proteins, in particular transcription factors, and DNA and possible mechanisms…

Biomolecules · Quantitative Biology 2015-03-19 M. Sheinman , O. Bénichou , Y. Kafri , R. Voituriez

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

Transcription factors (TFs) are macromolecules that bind to \textit{cis}-regulatory specific sub-regions of DNA promoters and initiate transcription. Finding the exact location of these binding sites (aka motifs) is important in a variety…

Computer Vision and Pattern Recognition · Computer Science 2016-11-18 Hamid Reza Hassanzadeh , May D. Wang

To ensure fast gene activation, Transcription Factors (TF) use a mechanism known as facilitated diffusion to find their DNA promoter site. Here we analyze such a process where a TF alternates between 3D and 1D diffusion. In the latter (TF…

Subcellular Processes · Quantitative Biology 2015-05-27 Juergen Reingruber , David Holcman

DNA-binding proteins are a class of proteins which have a specific or general affinity to DNA and include three important components: transcription factors; nucleases, and histones. DNA-binding proteins also perform important roles in many…

Computer Vision and Pattern Recognition · Computer Science 2012-07-12 Sokyna Qatawneh , Afaf Alneaimi , Thamer Rawashdeh , Mmohammad Muhairat , Rami Qahwaji , Stan Ipson

We present a simple and efficient method for prediction of transcription factor binding sites from DNA sequence. Our method computes a random approximation of a convolutional kernel feature map from DNA sequence and then learns a linear…

Genomics · Quantitative Biology 2017-06-02 Alyssa Morrow , Vaishaal Shankar , Devin Petersohn , Anthony Joseph , Benjamin Recht , Nir Yosef

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

We develop a theoretical framework on the mechanism of combinatorial binding of transcription factors (TFs) with their specific binding sites on DNA. We consider three possible mechanisms viz. monomer, hetero-oligomer and coordinated…

Subcellular Processes · Quantitative Biology 2016-10-21 R. Murugan

The binding of transcription factors (TFs) is essential for gene expression. One important characteristic is the actual occupancy of a putative binding site in the genome. In this study, we propose an analytical model to predict genomic…

Quantitative Methods · Quantitative Biology 2015-01-14 Nicolae Radu Zabet , Boris Adryan

One goal of human genetics is to understand how the information for precise and dynamic gene expression programs is encoded in the genome. The interactions of transcription factors (TFs) with DNA regulatory elements clearly play an…

Genomics · Quantitative Biology 2014-04-15 Darren A. Cusanovich , Bryan Pavlovic , Jonathan K. Pritchard , Yoav Gilad
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