Literature DB >> 8289251

MONTY: a Monte Carlo approach to protein-DNA recognition.

R M Knegtel1, J Antoon, C Rullmann, R Boelens, R Kaptein.   

Abstract

A Monte Carlo method is described for automated docking of proteins on DNA. The simulation program MONTY keeps the entire DNA and the protein backbone and core fixed while protein surface side-chains are allowed to rotate freely. The entire protein is rotated and translated by small random steps in order to find the best fit with the DNA. New configurations are accepted on basis of their Boltzmann probability. Protein-DNA interaction is represented by square well potentials for hydrogen bond and van der Waals interactions. The structure with the largest interaction energy encountered during the simulation is saved. The method is tested on complexes of the 434 Cro protein and its operator DNA where the protein is shifted up or down one or two base-pairs and is subsequently allowed to find back its native binding site. This protocol is performed for shifted complexes derived from the crystal structure, shifted complexes where the crystal structure DNA is replaced by standard B-DNA and shifted complexes where in addition the protein is replaced by protein from the uncomplexed crystal structure. In all three cases the six lowest energy structures correspond to complexes close to the native complex. The quality of sequence specific recognition diminishes, however, when the molecular surface complementarity between protein and DNA decreases.

Entities:  

Mesh:

Substances:

Year:  1994        PMID: 8289251     DOI: 10.1016/s0022-2836(05)80035-x

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  11 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.  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

3.  A new peptide docking strategy using a mean field technique with mutually orthogonal Latin square sampling.

Authors:  P Arun Prasad; N Gautham
Journal:  J Comput Aided Mol Des       Date:  2008-05-09       Impact factor: 3.686

4.  Reaching the global minimum in docking simulations: a Monte Carlo energy minimization approach using Bezier splines.

Authors:  J Y Trosset; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-07       Impact factor: 11.205

5.  QXP: powerful, rapid computer algorithms for structure-based drug design.

Authors:  C McMartin; R S Bohacek
Journal:  J Comput Aided Mol Des       Date:  1997-07       Impact factor: 3.686

Review 6.  What in silico molecular docking can do for the 'bench-working biologists'.

Authors:  Marius Mihăşan
Journal:  J Biosci       Date:  2012-12       Impact factor: 1.826

7.  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

8.  On docking, scoring and assessing protein-DNA complexes in a rigid-body framework.

Authors:  Marc Parisien; Karl F Freed; Tobin R Sosnick
Journal:  PLoS One       Date:  2012-02-29       Impact factor: 3.240

9.  Benchmarks for flexible and rigid transcription factor-DNA docking.

Authors:  RyangGuk Kim; Rosario I Corona; Bo Hong; Jun-tao Guo
Journal:  BMC Struct Biol       Date:  2011-11-01

10.  From nonspecific DNA-protein encounter complexes to the prediction of DNA-protein interactions.

Authors:  Mu Gao; Jeffrey Skolnick
Journal:  PLoS Comput Biol       Date:  2009-04-03       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.