Evidence map›Paper›PMID 26300709›Full record

ArticleJournal of chemical theory and computation2015

Constant-pH Hybrid Nonequilibrium Molecular Dynamics-Monte Carlo Simulation Method.

Yunjie Chen, Benoît Roux

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. GPU-Accelerated Implementation of Constant-pH Molecular Dynamics in NAMD.Journal of chemical information and modeling · 2025
    Article
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  5. Calculating Apparent pMolecular pharmaceutics · 2025
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  9. Review
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  17. Review
  18. Best Practices in Constant pH MD Simulations: Accuracy and Sampling.Journal of chemical theory and computation · 2022
    Article
  19. Scalable Constant pH Molecular Dynamics in GROMACS.Journal of chemical theory and computation · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yunjie ChenDepartment of Biochemistry and Molecular Biology, Department of Chemistry, University of Chicago , Chicago, Illinois 60637, United States.
Benoît RouxDepartment of Biochemistry and Molecular Biology, Department of Chemistry, University of Chicago , Chicago, Illinois 60637, United States.

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI NAKAMOTO, ROBERT K. · 2010 to 2017
$31.9M
NIGMS NIH HHS U54 GM087519NIGMS NIH HHS U54-GM087519
6 · The paper itself

Abstract

A computational method is developed to carry out explicit solvent simulations of complex molecular systems under conditions of constant pH. In constant-pH simulations, preidentified ionizable sites are allowed to spontaneously protonate and deprotonate as a function of time in response to the environment and the imposed pH. The method, based on a hybrid scheme originally proposed by H. A. Stern (J. Chem. Phys. 2007, 126, 164112), consists of carrying out short nonequilibrium molecular dynamics (neMD) switching trajectories to generate physically plausible configurations with changed protonation states that are subsequently accepted or rejected according to a Metropolis Monte Carlo (MC) criterion. To ensure microscopic detailed balance arising from such nonequilibrium switches, the atomic momenta are altered according to the symmetric two-ends momentum reversal prescription. To achieve higher efficiency, the original neMD-MC scheme is separated into two steps, reducing the need for generating a large number of unproductive and costly nonequilibrium trajectories. In the first step, the protonation state of a site is randomly attributed via a Metropolis MC process on the basis of an intrinsic pKa; an attempted nonequilibrium switch is generated only if this change in protonation state is accepted. This hybrid two-step inherent pKa neMD-MC simulation method is tested with single amino acids in solution (Asp, Glu, and His) and then applied to turkey ovomucoid third domain and hen egg-white lysozyme. Because of the simple linear increase in the computational cost relative to the number of titratable sites, the present method is naturally able to treat extremely large systems.

Indexed as

Molecular Dynamics SimulationAlgorithmsAnimalsChickensHydrogen-Ion ConcentrationKineticsMonte Carlo MethodMuramidasehen egg lysozymeMuramidase

Identifiers

PMID26300709
PMCPMC4535364

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.