Evidence map›Paper›PMID 25192938›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.

Wouter Boomsma, Pengfei Tian, Jes Frellsen, Jesper Ferkinghoff-Borg, Thomas Hamelryck, Kresten Lindorff-Larsen, Michele Vendruscolo

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Hierarchical Assembly of Single-Stranded RNA.Journal of chemical theory and computation · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Efficient Ensemble Refinement by Reweighting.Journal of chemical theory and computation · 2019
    Article
  7. Article
  8. A Generative Angular Model of Protein Structure Evolution.Molecular biology and evolution · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

7 authors.

Wouter BoomsmaDepartment of Biology, University of Copenhagen, 2200 Copenhagen, Denmark; mv245@cam.ac.uk wb@bio.ku.dk.
Pengfei TianNiels Bohr Institute, University of Copenhagen, 2100 Copenhagen, Denmark;
Jes FrellsenDepartment of Engineering, University of Cambridge, Cambridge, CB2 1PZ, United Kingdom;
Jesper Ferkinghoff-BorgBiotech Research and Innovation Center, University of Copenhagen, Technical University of Denmark Campus, 2800 Kongens Lyngby, Denmark; and.
Thomas HamelryckDepartment of Biology, University of Copenhagen, 2200 Copenhagen, Denmark;
Kresten Lindorff-LarsenDepartment of Biology, University of Copenhagen, 2200 Copenhagen, Denmark;
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom mv245@cam.ac.uk wb@bio.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods of protein structure determination based on NMR chemical shifts are becoming increasingly common. The most widely used approaches adopt the molecular fragment replacement strategy, in which structural fragments are repeatedly reassembled into different complete conformations in molecular simulations. Although these approaches are effective in generating individual structures consistent with the chemical shift data, they do not enable the sampling of the conformational space of proteins with correct statistical weights. Here, we present a method of molecular fragment replacement that makes it possible to perform equilibrium simulations of proteins, and hence to determine their free energy landscapes. This strategy is based on the encoding of the chemical shift information in a probabilistic model in Markov chain Monte Carlo simulations. First, we demonstrate that with this approach it is possible to fold proteins to their native states starting from extended structures. Second, we show that the method satisfies the detailed balance condition and hence it can be used to carry out an equilibrium sampling from the Boltzmann distribution corresponding to the force field used in the simulations. Third, by comparing the results of simulations carried out with and without chemical shift restraints we describe quantitatively the effects that these restraints have on the free energy landscapes of proteins. Taken together, these results demonstrate that the molecular fragment replacement strategy can be used in combination with chemical shift information to characterize not only the native structures of proteins but also their conformational fluctuations.

Indexed as

Computer SimulationModels, MolecularMarkov ChainsNuclear Magnetic Resonance, BiomolecularProteinsProteins

Identifiers

PMID25192938
PMCPMC4183297

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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.