Evidence map›Paper›PMID 29111720›Full record

ArticleJournal of chemical theory and computation2017

Constant-pH Molecular Dynamics Simulations for Large Biomolecular Systems.

Brian K Radak, Christophe Chipot, Donghyuk Suh, Sunhwan Jo, Wei Jiang, James C Phillips, Klaus Schulten, Benoît Roux

Erratum issuedAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

91 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. pH-Driven βACS omega · 2026
    Article
  6. Graph-Based Deep Learning Models for Predicting pJournal of chemical information and modeling · 2026
    Article
  7. GPU-Accelerated Implementation of Constant-pH Molecular Dynamics in NAMD.Journal of chemical information and modeling · 2025
    Article
  8. Insights into the Catalytic Activity of a Metagenome-Derived Urethanase.Journal of the American Chemical Society · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Adding the AMBER 14SB Force Field to the Stochastic Titration CpHMD Method.Journal of chemical theory and computation · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Brian K RadakLeadership Computing Facility, Argonne National Laboratory , Argonne, Illinois 60439-8643, United States.ORCID http://orcid.org/0000-0001-8628-5972
Christophe ChipotLaboratoire International Associé Centre National de la Recherche Scientifique et University of Illinois at Urbana-Champaign, Unité Mixte de Recherche No. 7565, Université de Lorraine, Université de Lorraine , B.P. 70239, 54506 Vandœuvre-lès-Nancy cedex, France.ORCID http://orcid.org/0000-0002-9122-1698
Donghyuk SuhDepartment of Chemistry, University of Chicago , Chicago, Illinois 60637-1454, United States.
Sunhwan JoLeadership Computing Facility, Argonne National Laboratory , Argonne, Illinois 60439-8643, United States.
Wei JiangLeadership Computing Facility, Argonne National Laboratory , Argonne, Illinois 60439-8643, United States.
James C PhillipsTheoretical and Computational Biophysics Group, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801-2325, United States.
Klaus SchultenDepartment of Physics, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801-2325, United States.
Benoît RouxDepartment of Chemistry, University of Chicago , Chicago, Illinois 60637-1454, United States.ORCID http://orcid.org/0000-0002-5254-2712

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI NAKAMOTO, ROBERT K. · 2010 to 2017
$31.9M
WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI STONE, JOHN H · 1990 to 2011
$19.8M
NCRR NIH HHS P41 RR005969NIGMS NIH HHS U54 GM087519
6 · The paper itself

Abstract

An increasingly important endeavor is to develop computational strategies that enable molecular dynamics (MD) simulations of biomolecular systems with spontaneous changes in protonation states under conditions of constant pH. The present work describes our efforts to implement the powerful constant-pH MD simulation method, based on a hybrid nonequilibrium MD/Monte Carlo (neMD/MC) technique within the highly scalable program NAMD. The constant-pH hybrid neMD/MC method has several appealing features; it samples the correct semigrand canonical ensemble rigorously, the computational cost increases linearly with the number of titratable sites, and it is applicable to explicit solvent simulations. The present implementation of the constant-pH hybrid neMD/MC in NAMD is designed to handle a wide range of biomolecular systems with no constraints on the choice of force field. Furthermore, the sampling efficiency can be adaptively improved on-the-fly by adjusting algorithmic parameters during the simulation. Illustrative examples emphasizing medium- and large-scale applications on next-generation supercomputing architectures are provided.

Indexed as

Molecular Dynamics SimulationHydrogen-Ion ConcentrationKineticsLipid BilayersMicrococcal NucleaseMonte Carlo MethodProteinsSolventsThermodynamicsLipid BilayersMicrococcal NucleaseProteinsSolvents

Identifiers

PMID29111720
PMCPMC5726918

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.