Evidence map›Paper›PMID 31602694›Full record

ArticleJournal of computational chemistry2020

Direct Derivation of Free Energies of Membrane Deformation and Other Solvent Density Variations From Enhanced Sampling Molecular Dynamics.

Giacomo Fiorin, Fabrizio Marinelli, José D Faraldo-Gómez

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
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  4. Expanded Functionality and Portability for the Colvars Library.The journal of physical chemistry. B · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Molecular Dynamics Simulations of Curved Lipid Membranes.International journal of molecular sciences · 2022
    Review
  17. Article
  18. Article
  19. 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.

Giacomo FiorinTheoretical Molecular Biophysics Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, Maryland, 20814.ORCID 0000-0002-8793-8645
Fabrizio MarinelliTheoretical Molecular Biophysics Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, Maryland, 20814.ORCID 0000-0003-0044-6718
José D Faraldo-GómezTheoretical Molecular Biophysics Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, Maryland, 20814.ORCID 0000-0001-7224-7676

Funding

Molecular Mechanisms in Membrane Bioenergetics, Transport and SignalingZIAHL006203 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI FARALDO-GÓMEZ, JOSE · 2015 to 2023
$15.4M
Intramural NIH HHS Z99 HL999999
6 · The paper itself

Abstract

We report a methodology to calculate the free energy of a shape transformation in a lipid membrane directly from a molecular dynamics simulation. The bilayer need not be homogeneous or symmetric and can be atomically detailed or coarse grained. The method is based on a collective variable that quantifies the similarity between the membrane and a set of predefined density distributions. Enhanced sampling of this "Multi-Map" variable re-shapes the bilayer and permits the derivation of the corresponding potential of mean force. Calculated energies thus reflect the dynamic interplay of atoms and molecules, rather than postulated effects. Evaluation of deformations of different shape, amplitude, and range demonstrates that the macroscopic bending modulus assumed by the Helfrich-Canham model is increasingly unsuitable below the 100-Å scale. In this range of major biological significance, direct free-energy calculations reveal a much greater plasticity. We also quantify the stiffening effect of cholesterol on bilayers of different composition and compare with experiments. Lastly, we illustrate how this approach facilitates analysis of other solvent reorganization processes, such as hydrophobic hydration. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.

Indexed as

Molecular Dynamics SimulationThermodynamicsCholesterolMembrane LipidsSolventsCholesterolMembrane LipidsSolventsdensity distributionsenhanced samplingfree-energy calculationshydrophobic hydrationlipid membranesmolecular dynamics simulationsolvent mixing

Identifiers

PMID31602694
PMCPMC8388148

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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.