Physical constraints determine the logic of bacterial promoter architectures. - Test2 - elhamkhani - TriplyDB

Physical constraints determine the logic of bacterial promoter architectures.

Physical constraints determine the logic of bacterial promoter architectures.

http://www.wikidata.org/entity/Q38735778

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Homotypic clusters of transcription factor binding sites: A model system for understanding the physical mechanics of gene expression Hybrid incompatibility arises in a sequence-based bioenergetic model of transcription factor binding Reliable scaling of position weight matrices for binding strength comparisons between transcription factors.How motif environment influences transcription factor search dynamics: Finding a needle in a haystack Nuclear morphologies: their diversity and functional relevance.Assembly PCR synthesis of optimally designed, compact, multi-responsive promoters suited to gene therapy application.Facilitated diffusion buffers noise in gene expression.In silico design of context-responsive mammalian promoters with user-defined functionality.The G-Box Transcriptional Regulatory Code in Arabidopsis.Hill function-based models of transcriptional switches: impact of specific, nonspecific, functional and nonfunctional binding.Transcription factor target site search and gene regulation in a background of unspecific binding sites

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P2860

Physical constraints determine the logic of bacterial promoter architectures.

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2014 nî lūn-bûn

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name

Physical constraints determine the logic of bacterial promoter architectures.

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Physical constraints determine the logic of bacterial promoter architectures.

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Physical constraints determine the logic of bacterial promoter architectures.

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Nucleic Acids Research

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Physical constraints determine the logic of bacterial promoter architectures

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Boris Adryan

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P2860

How do site-specific DNA-binding proteins find their targets?

RegulonDB version 7.0: transcriptional regulation of Escherichia coli K-12 integrated within genetic sensory response units (Gensor Units)

Computational limits to binary genes.

DNA binding sites: representation and discovery

The lac repressor-operator interaction. 3. Kinetic studies

Inferring binding energies from selected binding sites

Quantitative models of the mechanisms that control genome-wide patterns of transcription factor binding during early Drosophila development

Computational identification of diverse mechanisms underlying transcription factor-DNA occupancy

Network motifs in the transcriptional regulation network of Escherichia coli

Gene regulation at the single-cell level

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4196-4207

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scholarly article

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10.1093/NAR/GKU078

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7

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42

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Nicolae Radu Zabet

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259478231

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