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      Protein–DNA binding: complexities and multi-protein codes

      research-article
      1 , * , 2 , *
      Nucleic Acids Research
      Oxford University Press

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          Abstract

          Binding of proteins to particular DNA sites across the genome is a primary determinant of specificity in genome maintenance and gene regulation. DNA-binding specificity is encoded at multiple levels, from the detailed biophysical interactions between proteins and DNA, to the assembly of multi-protein complexes. At each level, variation in the mechanisms used to achieve specificity has led to difficulties in constructing and applying simple models of DNA binding. We review the complexities in protein–DNA binding found at multiple levels and discuss how they confound the idea of simple recognition codes. We discuss the impact of new high-throughput technologies for the characterization of protein–DNA binding, and how these technologies are uncovering new complexities in protein–DNA recognition. Finally, we review the concept of multi-protein recognition codes in which new DNA-binding specificities are achieved by the assembly of multi-protein complexes.

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          Most cited references122

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          DNA binding sites: representation and discovery.

          G Stormo (2000)
          The purpose of this article is to provide a brief history of the development and application of computer algorithms for the analysis and prediction of DNA binding sites. This problem can be conveniently divided into two subproblems. The first is, given a collection of known binding sites, develop a representation of those sites that can be used to search new sequences and reliably predict where additional binding sites occur. The second is, given a set of sequences known to contain binding sites for a common factor, but not knowing where the sites are, discover the location of the sites in each sequence and a representation for the specificity of the protein.
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            The role of DNA shape in protein-DNA recognition

            The recognition of specific DNA sequences by proteins is thought to depend on two types of mechanisms: one that involves the formation of hydrogen bonds with specific bases, primarily in the major groove, and one involving sequence-dependent deformations of the DNA helix. By comprehensively analyzing the three dimensional structures of protein-DNA complexes, we show that the binding of arginines to narrow minor grooves is a widely used mode for protein-DNA recognition. This readout mechanism exploits the phenomenon that narrow minor grooves strongly enhance the negative electrostatic potential of the DNA. The nucleosome core particle offers a striking example of this effect. Minor groove narrowing is often associated with the presence of A-tracts, AT-rich sequences that exclude the flexible TpA step. These findings suggest that the ability to detect local variations in DNA shape and electrostatic potential is a general mechanism that enables proteins to use information in the minor groove, which otherwise offers few opportunities for the formation of base-specific hydrogen bonds, to achieve DNA binding specificity.
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              Transcription regulation and animal diversity.

              Whole-genome sequence assemblies are now available for seven different animals, including nematode worms, mice and humans. Comparative genome analyses reveal a surprising constancy in genetic content: vertebrate genomes have only about twice the number of genes that invertebrate genomes have, and the increase is primarily due to the duplication of existing genes rather than the invention of new ones. How, then, has evolutionary diversity arisen? Emerging evidence suggests that organismal complexity arises from progressively more elaborate regulation of gene expression.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                February 2014
                16 November 2013
                16 November 2013
                : 42
                : 4
                : 2099-2111
                Affiliations
                1Department of Biology, Boston University, Boston, MA 02215, USA, 2Departments of Biostatistics and Bioinformatics, Computer Science, and Molecular Genetics and Microbiology, Institute for Genome Sciences and Policy, Duke University, Durham, NC 27708, USA
                Author notes
                *To whom correspondence should be addressed. Tel: +1 617 358 7118; Fax: +1 617 353 6340; Email: tsiggers@ 123456bu.edu
                Correspondence may also be addressed to Raluca Gordan. Tel: +919 684 9881; Fax: +919 668 0795; Email: raluca.gordan@ 123456duke.edu
                Article
                gkt1112
                10.1093/nar/gkt1112
                3936734
                24243859
                e5282e94-24e7-4d39-80f1-5e7e3cca3957
                © The Author(s) 2013. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 6 September 2013
                : 16 October 2013
                : 22 October 2013
                Page count
                Pages: 13
                Categories
                Survey and Summary

                Genetics
                Genetics

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