Evidence map›Paper›PMID 26082676›Full record

ArticleJournal of chemical theory and computation2015

Enhanced conformational sampling using replica exchange with concurrent solute scaling and hamiltonian biasing realized in one dimension.

Mingjun Yang, Jing Huang, Alexander D MacKerell

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 24 papers.

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0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. ACES: Optimized Alchemically Enhanced Sampling.Journal of chemical theory and computation · 2023
    Article
  6. Article
  7. CHARMM-GUI Enhanced Sampler for various collective variables and enhanced sampling methods.Protein science : a publication of the Protein Society · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Modeling of Oligosaccharides within Glycoproteins from Free-Energy Landscapes.Journal of chemical information and modeling · 2017
    Article
  18. Article
  19. CHARMM-GUI 10 years for biomolecular modeling and simulation.Journal of computational chemistry · 2017
    Review
  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

3 authors.

Mingjun YangDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland 21201, United States
Jing Huang
Alexander D MacKerell

Funding

Carbohydrate force fields for structure, dynamics and molecular recognitionR01GM070855 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D · 2005 to 2018
$3.5M
NIGMS NIH HHS GM070855NIGMS NIH HHS R01 GM070855
6 · The paper itself

Abstract

Replica exchange (REX) is a powerful computational tool for overcoming the quasi-ergodic sampling problem of complex molecular systems. Recently, several multidimensional extensions of this method have been developed to realize exchanges in both temperature and biasing potential space or the use of multiple biasing potentials to improve sampling efficiency. However, increased computational cost due to the multidimensionality of exchanges becomes challenging for use on complex systems under explicit solvent conditions. In this study, we develop a one-dimensional (1D) REX algorithm to concurrently combine the advantages of overall enhanced sampling from Hamiltonian solute scaling and the specific enhancement of collective variables using Hamiltonian biasing potentials. In the present Hamiltonian replica exchange method, termed HREST-BP, Hamiltonian solute scaling is applied to the solute subsystem, and its interactions with the environment to enhance overall conformational transitions and biasing potentials are added along selected collective variables associated with specific conformational transitions, thereby balancing the sampling of different hierarchical degrees of freedom. The two enhanced sampling approaches are implemented concurrently allowing for the use of a small number of replicas (e.g., 6 to 8) in 1D, thus greatly reducing the computational cost in complex system simulations. The present method is applied to conformational sampling of two nitrogen-linked glycans (N-glycans) found on the HIV gp120 envelope protein. Considering the general importance of the conformational sampling problem, HREST-BP represents an efficient procedure for the study of complex saccharides, and, more generally, the method is anticipated to be of general utility for the conformational sampling in a wide range of macromolecular systems.

Indexed as

AlgorithmsCarbohydrate ConformationComputer SimulationHIV Envelope Protein gp120Molecular Dynamics SimulationMolecular Sequence DataPolysaccharidesHIV Envelope Protein gp120Polysaccharides

Identifiers

PMID26082676
PMCPMC4463548

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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.