Literature DB >> 26592995

On the Use of Experimental Observations to Bias Simulated Ensembles.

Jed W Pitera1, John D Chodera2.   

Abstract

Historically, experimental measurements have been used to bias biomolecular simulations toward structures compatible with those observations via the addition of ad hoc restraint terms. We show how the maximum entropy formalism provides a principled approach to enforce concordance with these measurements in a minimally biased way, yielding restraints that are linear functions of the target observables and specifying a straightforward scheme to determine the biasing weights. These restraints are compared with instantaneous and ensemble-averaged harmonic restraint schemes, illustrating their similarities and limitations.

Year:  2012        PMID: 26592995     DOI: 10.1021/ct300112v

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  62 in total

1.  Solid-State NMR-Restrained Ensemble Dynamics of a Membrane Protein in Explicit Membranes.

Authors:  Xi Cheng; Sunhwan Jo; Yifei Qi; Francesca M Marassi; Wonpil Im
Journal:  Biophys J       Date:  2015-04-21       Impact factor: 4.033

2.  Cyclophilin A catalyzes proline isomerization by an electrostatic handle mechanism.

Authors:  Carlo Camilloni; Aleksandr B Sahakyan; Michael J Holliday; Nancy G Isern; Fengli Zhang; Elan Z Eisenmesser; Michele Vendruscolo
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-30       Impact factor: 11.205

3.  Topology, structures, and energy landscapes of human chromosomes.

Authors:  Bin Zhang; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-27       Impact factor: 11.205

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

5.  Ensemble-Biased Metadynamics: A Molecular Simulation Method to Sample Experimental Distributions.

Authors:  Fabrizio Marinelli; José D Faraldo-Gómez
Journal:  Biophys J       Date:  2015-06-16       Impact factor: 4.033

Review 6.  The Structural and Functional Diversity of Intrinsically Disordered Regions in Transmembrane Proteins.

Authors:  Rajeswari Appadurai; Vladimir N Uversky; Anand Srivastava
Journal:  J Membr Biol       Date:  2019-05-28       Impact factor: 1.843

7.  A method of incorporating rate constants as kinetic constraints in molecular dynamics simulations.

Authors:  Z Faidon Brotzakis; Michele Vendruscolo; Peter G Bolhuis
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-12       Impact factor: 11.205

8.  Combining experimental and simulation data of molecular processes via augmented Markov models.

Authors:  Simon Olsson; Hao Wu; Fabian Paul; Cecilia Clementi; Frank Noé
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-17       Impact factor: 11.205

9.  On the statistical equivalence of restrained-ensemble simulations with the maximum entropy method.

Authors:  Benoît Roux; Jonathan Weare
Journal:  J Chem Phys       Date:  2013-02-28       Impact factor: 3.488

10.  Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning.

Authors:  Yasuhiro Matsunaga; Yuji Sugita
Journal:  Elife       Date:  2018-05-03       Impact factor: 8.140

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