Literature DB >> 3271524

Selection of DNA binding sites by regulatory proteins. Functional specificity and pseudosite competition.

O G Berg1.   

Abstract

The frequency of base-pair occurrence in a set of recognition sequences for a particular DNA-binding protein is strongly related to the contributions to the binding free energy from the individual base pairs. Thus from the statistics of base-pair choice, it is possible to estimate the relative binding strengths of any base-pair sequences and to predict the effect of point mutations in specific sites. On the same basis, one can describe the binding properties of random DNA sequences and thereby the expected competitive effects from all the nonspecific DNA sites in the genome of a living cell. The statistical selection theory [Berg & von Hippel.J. Mol. Biol. 193 (1987) 723-750] describing these relations is extended and tested with computer simulations. The theory is shown to hold up well also in the case when base pairs contribute cooperatively to the binding interaction. The simulations also demonstrate the effects of the statistical small-sample uncertainty that appears due to the limited size of all sets of recognition sites identified.

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Year:  1988        PMID: 3271524     DOI: 10.1080/07391102.1988.10507713

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  5 in total

1.  The evolutionary selection of DNA base pairs in gene-regulatory binding sites.

Authors:  O G Berg
Journal:  Proc Natl Acad Sci U S A       Date:  1992-08-15       Impact factor: 11.205

2.  Combinatorial gene regulation using auto-regulation.

Authors:  Rutger Hermsen; Bas Ursem; Pieter Rein ten Wolde
Journal:  PLoS Comput Biol       Date:  2010-06-10       Impact factor: 4.475

3.  Transcriptional regulation by competing transcription factor modules.

Authors:  Rutger Hermsen; Sander Tans; Pieter Rein ten Wolde
Journal:  PLoS Comput Biol       Date:  2006-10-23       Impact factor: 4.475

4.  Conservation of the binding site for the arginine repressor in all bacterial lineages.

Authors:  K S Makarova; A A Mironov; M S Gelfand
Journal:  Genome Biol       Date:  2001-03-22       Impact factor: 13.583

5.  Exact p-value calculation for heterotypic clusters of regulatory motifs and its application in computational annotation of cis-regulatory modules.

Authors:  Valentina Boeva; Julien Clément; Mireille Régnier; Mikhail A Roytberg; Vsevolod J Makeev
Journal:  Algorithms Mol Biol       Date:  2007-10-10       Impact factor: 1.405

  5 in total

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