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The notion that transcription factors bind DNA only through specific, consensus binding sites has been recently questioned. In a pioneering study by Pugh and Venters no specific consensus motif for the positioning of the human…

生物大分子 · 定量生物学 2017-06-28 Matan Goldshtein , David B. Lukatsky

Recent genome-wide measurements of binding preferences of ~200 transcription regulators in the vicinity of transcription start sites in yeast, have provided a unique insight into the cis- regulatory code of a eukaryotic genome (Venters et…

生物大分子 · 定量生物学 2012-04-19 Ariel Afek , David B. Lukatsky

Quantitative understanding of the principles regulating nucleosome occupancy on a genome-wide level is a central issue in eukaryotic genomics. Here, we address this question using budding yeast, Saccharomyces cerevisiae, as a model…

生物大分子 · 定量生物学 2011-11-22 Ariel Afek , Itamar Sela , Noa Musa-Lempel , David B. Lukatsky

Positioning of nucleosomes along eukaryotic genomes plays an important role in their organization and regulation. There are many different factors affecting the location of nucleosomes. Some can be viewed as preferential binding of a single…

生物物理 · 物理学 2015-08-13 Michael Sheinman , Ho-Ryun Chung

Prediction of protein-ligand binding affinity is a major goal in drug discovery. Generally, free energy gap is calculated between two states (e.g., ligand binding and unbinding). The energy gap implicitly includes the effects of changes in…

生物大分子 · 定量生物学 2022-05-20 Ikki Yasuda , Katsuhiro Endo , Eiji Yamamoto , Yoshinori Hirano , Kenji Yasuoka

The Saccharomyces cerevisiae protein-protein interaction map, as well as many natural and man-made networks, shares the scale-free topology. The preferential attachment model was suggested as a generic network evolution model that yields…

统计力学 · 物理学 2007-05-23 Eli Eisenberg , Erez Y. Levanon

Specific binding of proteins to DNA is one of the most common ways in which gene expression is controlled. Although general rules for the DNA-protein recognition can be derived, the ambiguous and complex nature of this mechanism precludes a…

生物大分子 · 定量生物学 2007-12-17 E. Moroni , M. Caselle , F. Fogolari

We predict analytically that diagonal correlations of amino acid positions within protein sequences statistically enhance protein propensity for nonspecific binding. We use the term 'promiscuity' to describe such nonspecific binding.…

生物大分子 · 定量生物学 2011-08-16 David B. Lukatsky , Ariel Afek , Eugene I. Shakhnovich

We study the correlation between the codon usage bias of genetic sequences and the network features of protein-protein interaction (PPI) in bacterial species. We use PCA techniques in the space of codon bias indices to show that genes with…

基因组学 · 定量生物学 2021-02-23 Maddalena Dilucca , Giulio Cimini , Sergio Forcelloni , Andrea Giansanti

Evolutionary trajectories and phenotypic states available to cell populations are ultimately dictated by intermolecular interactions between DNA, RNA, proteins, and other molecular species. Here we study how evolution of gene regulation in…

种群与进化 · 定量生物学 2014-08-19 Allan Haldane , Michael Manhart , Alexandre V. Morozov

In eukaryotic genomes, nucleosomes function to compact DNA and to regulate access to it both by simple physical occlusion and by providing the substrate for numerous covalent epigenetic tags. While nucleosome positions in vitro are…

Background: Prior to the current genomic era it was suggested that the number of protein-coding genes that an organism made use of was a valid measure of its complexity. It is now clear, however, that major incongruities exist and that…

基因组学 · 定量生物学 2007-05-23 R. J. Taft , J. S. Mattick

Statistical analysis of protein-protein interactions shows anomalously high frequency of homodimers [Ispolatov, I., et al. (2005) Nucleic Acids Res 33, 3629-35]. Furthermore, recent findings [Wright, C.F., et al. (2005) Nature 438, 878-81]…

生物大分子 · 定量生物学 2007-05-23 D. B. Lyjatsky , E. I. Shakhnovich

Transcription factors (TFs) are regulatory proteins that bind DNA in promoter regions of the genome and either promote or repress gene expression. Here we predict analytically that enhanced homo-oligonucleotide sequence correlations, such…

生物大分子 · 定量生物学 2011-11-15 Itamar Sela , David B. Lukatsky

How do living cells achieve sufficient abundances of functional protein complexes while minimizing promiscuous non-functional interactions? Here we study this problem using a first-principle model of the cell whose phenotypic traits are…

生物大分子 · 定量生物学 2011-01-04 Muyoung Heo , Sergei Maslov , 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…

基因组学 · 定量生物学 2015-08-07 Yonatan Savir Jacob Kagan , Tsvi Tlusty

The histone-DNA interaction in the nucleosome is a fundamental mechanism of genomic compaction and regulation, which remains largely unkown despite a growing structural knowledge of the complex. Here, we propose a framework for the…

生物物理 · 物理学 2015-06-23 Sam Meyer , Ralf Everaers

The process of protein search for specific binding sites on DNA is fundamentally important since it marks the beginning of all major biological processes. We present a theoretical investigation that probes the role of DNA sequence symmetry,…

亚细胞过程 · 定量生物学 2016-01-20 Alexey A. Shvets , Anatoly B. Kolomeisky

The structure of DNA Binding Proteins enables a strong interaction with their specific target site on DNA. However, recent single molecule experiment reported that proteins can diffuse on DNA. This suggests that the interactions between…

生物大分子 · 定量生物学 2015-05-13 Vincent Dahirel , Fabien Paillusson , Marie Jardat , Maria Barbi , Jean-Marc Victor

Characterization of protein energy landscape and conformational ensembles is important for understanding mechanisms of protein folding and function. We studied ensembles of bound and unbound conformations of six proteins to explore their…

生物物理 · 物理学 2012-11-06 Anatoly M. Ruvinsky , Tatsiana Kirys , Alexander V. Tuzikov , Ilya A. Vakser
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