Literature DB >> 7937706

Monte Carlo docking of protein-DNA complexes: incorporation of DNA flexibility and experimental data.

R M Knegtel1, R Boelens, R Kaptein.   

Abstract

A Monte Carlo simulation program (MONTY) has been developed to dock proteins onto DNA. Protein and DNA interact via square-well potentials for hydrogen bond and van der Waals interactions. The effect of the inclusion of DNA flexibility and experimentally derived restraints has been tested on members of the helix-turn-helix family of DNA binding proteins. Unwinding and bending the DNA double helix improves the number of correctly retrieved hydrogen bonds in simulations starting from the 434 cro protein monomer complexed with a standard B-DNA OR1 half-site. Agreement with phosphate ethylation interference and mutagenesis data is rewarded with energy bonuses. This protocol was tested on protein-DNA complexes of 434 cro, lac headpiece and a mutant lac headpiece resembling the gal repressor headpiece with the recognition helices in correct and reversed orientations in the DNA major groove. The inclusion of experimental data gives an improved convergence of the correctly oriented structures and allows for an easier discrimination between correctly and incorrectly docked complexes.

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Year:  1994        PMID: 7937706     DOI: 10.1093/protein/7.6.761

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  8 in total

1.  Modeling helix-turn-helix protein-induced DNA bending with knowledge-based distance restraints.

Authors:  W S Tzou; M J Hwang
Journal:  Biophys J       Date:  1999-09       Impact factor: 4.033

2.  Protein ligand docking based on empirical method for binding affinity estimation.

Authors:  P Tao; L Lai
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

3.  Structure and DNA-binding properties of the cytolysin regulator CylR2 from Enterococcus faecalis.

Authors:  Sigrun Rumpel; Adelia Razeto; Chris M Pillar; Vinesh Vijayan; Austin Taylor; Karin Giller; Michael S Gilmore; Stefan Becker; Markus Zweckstetter
Journal:  EMBO J       Date:  2004-09-09       Impact factor: 11.598

4.  Predicting protein-DNA interactions by full search computational docking.

Authors:  Victoria A Roberts; Michael E Pique; Lynn F Ten Eyck; Sheng Li
Journal:  Proteins       Date:  2013-10-18

5.  Pushing the limits of what is achievable in protein-DNA docking: benchmarking HADDOCK's performance.

Authors:  Marc van Dijk; Alexandre M J J Bonvin
Journal:  Nucleic Acids Res       Date:  2010-05-13       Impact factor: 16.971

6.  Molecular flexibility in ab initio drug docking to DNA: binding-site and binding-mode transitions in all-atom Monte Carlo simulations.

Authors:  Remo Rohs; Itai Bloch; Heinz Sklenar; Zippora Shakked
Journal:  Nucleic Acids Res       Date:  2005-12-13       Impact factor: 16.971

7.  Information-driven protein-DNA docking using HADDOCK: it is a matter of flexibility.

Authors:  Marc van Dijk; Aalt D J van Dijk; Victor Hsu; Rolf Boelens; Alexandre M J J Bonvin
Journal:  Nucleic Acids Res       Date:  2006-07-04       Impact factor: 16.971

8.  FoldX accurate structural protein-DNA binding prediction using PADA1 (Protein Assisted DNA Assembly 1).

Authors:  Javier Delgado Blanco; Leandro Radusky; Héctor Climente-González; Luis Serrano
Journal:  Nucleic Acids Res       Date:  2018-05-04       Impact factor: 16.971

  8 in total

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