Literature DB >> 17677590

Choosing weights for simulated tempering.

Sanghyun Park1, Vijay S Pande.   

Abstract

Simulated tempering is a method to enhance simulations of complex systems by periodically raising and lowering the temperature. Despite its advantages, simulated tempering has been overshadowed by its parallel counterpart, replica exchange (also known as parallel tempering), due to the difficulty of weight determination in simulated tempering. Here we propose a simple and fast method to obtain near-optimal weights for simulated tempering, and demonstrate its effectiveness in a molecular dynamics simulation of Ala(10) polypeptide in explicit solvent. We believe simulated tempering now deserves another look.

Entities:  

Year:  2007        PMID: 17677590     DOI: 10.1103/PhysRevE.76.016703

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  21 in total

1.  Generalized simulated tempering for exploring strong phase transitions.

Authors:  Jaegil Kim; John E Straub
Journal:  J Chem Phys       Date:  2010-10-21       Impact factor: 3.488

2.  Locally weighted histogram analysis and stochastic solution for large-scale multi-state free energy estimation.

Authors:  Zhiqiang Tan; Junchao Xia; Bin W Zhang; Ronald M Levy
Journal:  J Chem Phys       Date:  2016-01-21       Impact factor: 3.488

3.  Comparison of sampling efficiency between simulated tempering and replica exchange.

Authors:  Cheng Zhang; Jianpeng Ma
Journal:  J Chem Phys       Date:  2008-10-07       Impact factor: 3.488

4.  Error and efficiency of simulated tempering simulations.

Authors:  Edina Rosta; Gerhard Hummer
Journal:  J Chem Phys       Date:  2010-01-21       Impact factor: 3.488

5.  Convergence of folding free energy landscapes via application of enhanced sampling methods in a distributed computing environment.

Authors:  Xuhui Huang; Gregory R Bowman; Vijay S Pande
Journal:  J Chem Phys       Date:  2008-05-28       Impact factor: 3.488

6.  Introducing sampling entropy in repository based adaptive umbrella sampling.

Authors:  Han Zheng; Yingkai Zhang
Journal:  J Chem Phys       Date:  2009-12-07       Impact factor: 3.488

7.  Dynamical reweighting: improved estimates of dynamical properties from simulations at multiple temperatures.

Authors:  John D Chodera; William C Swope; Frank Noé; Jan-Hendrik Prinz; Michael R Shirts; Vijay S Pande
Journal:  J Chem Phys       Date:  2011-06-28       Impact factor: 3.488

8.  Estimating thermodynamic expectations and free energies in expanded ensemble simulations: Systematic variance reduction through conditioning.

Authors:  Manuel Athènes; Pierre Terrier
Journal:  J Chem Phys       Date:  2017-05-21       Impact factor: 3.488

9.  A generalized linear response framework for expanded ensemble and replica exchange simulations.

Authors:  Brian K Radak; Donghyuk Suh; Benoît Roux
Journal:  J Chem Phys       Date:  2018-08-21       Impact factor: 3.488

10.  Accelerating the weighted histogram analysis method by direct inversion in the iterative subspace.

Authors:  Cheng Zhang; Chun-Liang Lai; B Montgomery Pettitt
Journal:  Mol Simul       Date:  2016-07-05       Impact factor: 2.178

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