Literature DB >> 20012761

On using time-averaging restraints in molecular dynamics simulation.

W R Scott1, A E Mark, W F van Gunsteren.   

Abstract

Introducing experimental values as restraints into molecular dynamics (MD) simulations to bias the values of particular molecular properties, such as nuclear Overhauser effect intensities or distances, (3)J coupling constants, chemical shifts or crystallographic structure factors, towards experimental values is a widely used structure refinement method. To account for the averaging of experimentally derived quantities inherent in the experimental techniques, time-averaging restraining methods may be used. In the case of structure refinement using (3)J coupling constants from NMR experiments, time-averaging methods previously proposed can suffer from large artificially induced structural fluctuations. A modified time-averaged restraining potential energy function is proposed which overcomes this problem. The different possible approaches are compared using stochastic dynamics simulations of antamanide, a cyclic peptide of ten residues.

Entities:  

Year:  1998        PMID: 20012761     DOI: 10.1023/A:1008306732538

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  8 in total

1.  Dynamical studies of peptide motifs in the Plasmodium falciparum circumsporozoite surface protein by restrained and unrestrained MD simulations.

Authors:  A P Nanzer; A E Torda; C Bisang; C Weber; J A Robinson; W F van Gunsteren
Journal:  J Mol Biol       Date:  1997-04-11       Impact factor: 5.469

2.  Time-averaging crystallographic refinement: possibilities and limitations using alpha-cyclodextrin as a test system.

Authors:  C A Schiffer; P Gros; W F van Gunsteren
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1995-01-01

3.  Time-averaged nuclear Overhauser effect distance restraints applied to tendamistat.

Authors:  A E Torda; R M Scheek; W F van Gunsteren
Journal:  J Mol Biol       Date:  1990-07-05       Impact factor: 5.469

4.  How well do time-averaged J-coupling restraints work?

Authors:  D A Pearlman
Journal:  J Biomol NMR       Date:  1994-03       Impact factor: 2.835

5.  Structure refinement using time-averaged J-coupling constant restraints.

Authors:  A E Torda; R M Brunne; T Huber; H Kessler; W F van Gunsteren
Journal:  J Biomol NMR       Date:  1993-01       Impact factor: 2.835

6.  Conformation of uncomplexed natural antamanide crystallized from CH(3)CN/H(2)O.

Authors:  I L Karle; T Wieland; D Schermer; H C Ottenheym
Journal:  Proc Natl Acad Sci U S A       Date:  1979-04       Impact factor: 11.205

7.  Multi-conformational peptide dynamics derived from NMR data: a new search algorithm and its application to antamanide.

Authors:  R Brüschweiler; M Blackledge; R R Ernst
Journal:  J Biomol NMR       Date:  1991-05       Impact factor: 2.835

8.  Calibration of the angular dependence of the amide proton-C alpha proton coupling constants, 3JHN alpha, in a globular protein. Use of 3JHN alpha for identification of helical secondary structure.

Authors:  A Pardi; M Billeter; K Wüthrich
Journal:  J Mol Biol       Date:  1984-12-15       Impact factor: 5.469

  8 in total
  10 in total

1.  On using oscillating time-dependent restraints in MD simulation.

Authors:  Bettina Keller; Markus Christen; Chris Oostenbrink; Wilfred F van Gunsteren
Journal:  J Biomol NMR       Date:  2006-12-16       Impact factor: 2.835

Review 2.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

3.  Biomolecular structure refinement based on adaptive restraints using local-elevation simulation.

Authors:  Markus Christen; Bettina Keller; Wilfred F van Gunsteren
Journal:  J Biomol NMR       Date:  2007-10-11       Impact factor: 2.835

4.  Time-averaged order parameter restraints in molecular dynamics simulations.

Authors:  Niels Hansen; Fabian Heller; Nathan Schmid; Wilfred F van Gunsteren
Journal:  J Biomol NMR       Date:  2014-10-14       Impact factor: 2.835

Review 5.  Assessing and refining molecular dynamics simulations of proteins with nuclear magnetic resonance data.

Authors:  Jane R Allison
Journal:  Biophys Rev       Date:  2012-09-01

6.  On the use of time-averaging restraints when deriving biomolecular structure from ³J -coupling values obtained from NMR experiments.

Authors:  Lorna J Smith; Wilfred F van Gunsteren; Niels Hansen
Journal:  J Biomol NMR       Date:  2016-09-15       Impact factor: 2.835

7.  Conformational dynamics in mixed alpha/beta-oligonucleotides containing polarity reversals: a molecular dynamics study using time-averaged restraints.

Authors:  J M Aramini; A Mujeeb; N B Ulyanov; M W Germann
Journal:  J Biomol NMR       Date:  2000-12       Impact factor: 2.835

Review 8.  Understanding biomolecular motion, recognition, and allostery by use of conformational ensembles.

Authors:  R Bryn Fenwick; Santi Esteban-Martín; Xavier Salvatella
Journal:  Eur Biophys J       Date:  2011-11-17       Impact factor: 1.733

9.  Molecular Dynamics Simulations of Macromolecular Crystals.

Authors:  David S Cerutti; David A Case
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2018-11-16

10.  The MUMO (minimal under-restraining minimal over-restraining) method for the determination of native state ensembles of proteins.

Authors:  Barbara Richter; Joerg Gsponer; Péter Várnai; Xavier Salvatella; Michele Vendruscolo
Journal:  J Biomol NMR       Date:  2007-01-16       Impact factor: 2.835

  10 in total

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