Literature DB >> 8996785

Computation of DNA structural variability--a new predictor of DNA regulatory regions.

C J Benham1.   

Abstract

MOTIVATION: Local separation of the two strands of the DNA duplex is an essential step in important biological activities, including the initiation of transcription and replication. This conformational transition occurs in response to imposed stresses, which are stringently regulated in vivo.
RESULTS: This paper describes two computational methods to analyse this phenomenon: an approximate statistical mechanical method and a Monte Carlo sampling technique. Analysis of genomic DNA sequences shows that sites of predicted duplex destabilization are closely associated with regions regulating transcription, with the most destabilized sites coinciding with 3' gene termini. Experimental results supporting this conclusion are described. The incorporation of this technique into computational searches for regulatory regions is discussed. AVAILABILITY: Because the programs implementing these calculations are complex to use and not completely developed, they have not been released yet. However, the author will analyze any DNA sequences upon request. Sequences may be submitted electronically to benham/msvax.mssm.edu.

Mesh:

Substances:

Year:  1996        PMID: 8996785     DOI: 10.1093/bioinformatics/12.5.375

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  4 in total

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Authors:  Anil G Jegga; Shawn P Sherwood; James W Carman; Andrew T Pinski; Jerry L Phillips; John P Pestian; Bruce J Aronow
Journal:  Genome Res       Date:  2002-09       Impact factor: 9.043

2.  Recent computational approaches to understand gene regulation: mining gene regulation in silico.

Authors:  I Abnizova; T Subhankulova; Wr Gilks
Journal:  Curr Genomics       Date:  2007-04       Impact factor: 2.236

3.  I. VH gene transcription creates stabilized secondary structures for coordinated mutagenesis during somatic hypermutation.

Authors:  Barbara E Wright; Karen H Schmidt; Michael F Minnick; Nick Davis
Journal:  Mol Immunol       Date:  2008-06-27       Impact factor: 4.407

4.  You Don't Muck with MYC.

Authors:  David Levens
Journal:  Genes Cancer       Date:  2010-06-01
  4 in total

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