Literature DB >> 14654694

Using electrostatic potentials to predict DNA-binding sites on DNA-binding proteins.

Susan Jones1, Hugh P Shanahan, Helen M Berman, Janet M Thornton.   

Abstract

A method to detect DNA-binding sites on the surface of a protein structure is important for functional annotation. This work describes the analysis of residue patches on the surface of DNA-binding proteins and the development of a method of predicting DNA-binding sites using a single feature of these surface patches. Surface patches and the DNA-binding sites were initially analysed for accessibility, electrostatic potential, residue propensity, hydrophobicity and residue conservation. From this, it was observed that the DNA-binding sites were, in general, amongst the top 10% of patches with the largest positive electrostatic scores. This knowledge led to the development of a prediction method in which patches of surface residues were selected such that they excluded residues with negative electrostatic scores. This method was used to make predictions for a data set of 56 non-homologous DNA-binding proteins. Correct predictions made for 68% of the data set.

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Year:  2003        PMID: 14654694      PMCID: PMC291864          DOI: 10.1093/nar/gkg922

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  26 in total

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Journal:  Nature       Date:  1996-07-18       Impact factor: 49.962

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Journal:  Proteins       Date:  1997-07

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Journal:  Trends Biochem Sci       Date:  1995-09       Impact factor: 13.807

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Authors:  S Jones; J M Thornton
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-09       Impact factor: 11.205

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Authors:  H Pelletier; M R Sawaya
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  77 in total

1.  Identifying DNA-binding proteins using structural motifs and the electrostatic potential.

Authors:  Hugh P Shanahan; Mario A Garcia; Susan Jones; Janet M Thornton
Journal:  Nucleic Acids Res       Date:  2004-09-08       Impact factor: 16.971

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Journal:  Protein Sci       Date:  2010-07       Impact factor: 6.725

4.  Using Correlated Monte Carlo Sampling for Efficiently Solving the Linearized Poisson-Boltzmann Equation Over a Broad Range of Salt Concentration.

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Journal:  J Chem Theory Comput       Date:  2010-01-01       Impact factor: 6.006

5.  A computational method for the analysis and prediction of protein:phosphopeptide-binding sites.

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6.  DNA binding: a novel function of Pseudomonas aeruginosa type IV pili.

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7.  Residue-level prediction of DNA-binding sites and its application on DNA-binding protein predictions.

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Journal:  FEBS Lett       Date:  2007-02-07       Impact factor: 4.124

8.  HotPatch: a statistical approach to finding biologically relevant features on protein surfaces.

Authors:  Frank K Pettit; Emiko Bare; Albert Tsai; James U Bowie
Journal:  J Mol Biol       Date:  2007-03-21       Impact factor: 5.469

9.  Identification of DNA-binding proteins using structural, electrostatic and evolutionary features.

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Journal:  J Mol Biol       Date:  2009-02-20       Impact factor: 5.469

10.  Effects of electrostatic interactions on ligand dissociation kinetics.

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Journal:  Phys Rev E       Date:  2018-02       Impact factor: 2.529

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