Literature DB >> 16249059

Role of inter and intramolecular interactions in protein-DNA recognition.

M Michael Gromiha1, Joerg G Siebers, Samuel Selvaraj, Hidetoshi Kono, Akinori Sarai.   

Abstract

Protein-DNA recognition plays an essential role in the regulation of gene expression. Regulatory proteins are known to recognize specific DNA sequences directly through atomic contacts between protein and DNA, and/or indirectly through the conformational properties of the DNA. In this work, we have analyzed the specificity of intermolecular interactions by statistical analysis of base-amino acid interactions within protein-DNA complexes as well as the computer simulations of base-amino acid interactions. The specificity of the intramolecular interactions was studied by statistical analysis of the sequence-dependent DNA conformational parameters and the elastic properties of DNA. Systematic comparison of these specificities in a large number of protein-DNA complexes revealed that both intermolecular and intramolecular interactions contribute to the specificity of protein-DNA recognition, and their relative contributions vary depending upon the protein-DNA complex. We demonstrated that combination of the intermolecular and intramolecular energies leads to enhanced specificity and the combined energy could explain experimental data on binding affinity changes caused by base mutations. These results provided new insight into the relationship between specificity and structure in the process of protein-DNA recognition, which would lead to prediction of specific protein-DNA binding sites.

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Year:  2005        PMID: 16249059     DOI: 10.1016/j.gene.2005.07.022

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  10 in total

1.  Role of indirect readout mechanism in TATA box binding protein-DNA interaction.

Authors:  Manas Mondal; Devapriya Choudhury; Jaydeb Chakrabarti; Dhananjay Bhattacharyya
Journal:  J Comput Aided Mol Des       Date:  2015-01-10       Impact factor: 3.686

2.  Experimentally based contact energies decode interactions responsible for protein-DNA affinity and the role of molecular waters at the binding interface.

Authors:  N Alpay Temiz; Carlos J Camacho
Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

Review 3.  Nuance in the double-helix and its role in protein-DNA recognition.

Authors:  Remo Rohs; Sean M West; Peng Liu; Barry Honig
Journal:  Curr Opin Struct Biol       Date:  2009-04-10       Impact factor: 6.809

4.  Use of structural DNA properties for the prediction of transcription-factor binding sites in Escherichia coli.

Authors:  Pieter Meysman; Thanh Hai Dang; Kris Laukens; Riet De Smet; Yan Wu; Kathleen Marchal; Kristof Engelen
Journal:  Nucleic Acids Res       Date:  2010-11-04       Impact factor: 16.971

5.  Topology of RNA-protein nucleobase-amino acid π-π interactions and comparison to analogous DNA-protein π-π contacts.

Authors:  Katie A Wilson; Devany J Holland; Stacey D Wetmore
Journal:  RNA       Date:  2016-03-15       Impact factor: 4.942

6.  A generalized conformational energy function of DNA derived from molecular dynamics simulations.

Authors:  Satoshi Yamasaki; Tohru Terada; Kentaro Shimizu; Hidetoshi Kono; Akinori Sarai
Journal:  Nucleic Acids Res       Date:  2009-09-03       Impact factor: 16.971

7.  DNA sequence-specific recognition by a transcriptional regulator requires indirect readout of A-tracts.

Authors:  Jesús Mendieta; Laura Pérez-Lago; Margarita Salas; Ana Camacho
Journal:  Nucleic Acids Res       Date:  2007-04-22       Impact factor: 16.971

8.  Magnitude and direction of DNA bending induced by screw-axis orientation: influence of sequence, mismatches and abasic sites.

Authors:  Jeremy Curuksu; Krystyna Zakrzewska; Martin Zacharias
Journal:  Nucleic Acids Res       Date:  2008-02-20       Impact factor: 16.971

9.  Insights into protein-DNA interactions through structure network analysis.

Authors:  R Sathyapriya; M S Vijayabaskar; Saraswathi Vishveshwara
Journal:  PLoS Comput Biol       Date:  2008-09-05       Impact factor: 4.475

Review 10.  PDBparam: Online Resource for Computing Structural Parameters of Proteins.

Authors:  R Nagarajan; A Archana; A Mary Thangakani; S Jemimah; D Velmurugan; M Michael Gromiha
Journal:  Bioinform Biol Insights       Date:  2016-06-14
  10 in total

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