Evidence map›Paper›PMID 33006688›Full record

ArticleThe European physical journal. E, Soft matter2020

Free energy measurements by the generalized fluctuation theorems: Theory and numerical study of a model filament.

Min-Kyung Chae, Yunha Kim, Nam-Kyung Lee, A Johner, Jeong-Man Park

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in The European physical journal. E, Soft matter, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 54% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 2 countries.

Min-Kyung ChaeDepartment of Physics and Astronomy, Sejong University, 05006, Seoul, South Korea.
Yunha KimDepartment of Physics and Astronomy, Sejong University, 05006, Seoul, South Korea.
Nam-Kyung LeeDepartment of Physics and Astronomy, Sejong University, 05006, Seoul, South Korea. lee@sejong.ac.kr.
A JohnerInstitute Charles Sadron, CNRS 23 Rue du Loess, 67034, Strasbourg cedex 2, France.
Jeong-Man ParkDepartment of Physics, The Catholic University of Korea, 14662, Bucheon, South Korea.
Sejong University · KRCatholic University of Korea · KRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We measure the free energy of a model filament, which undergoes deformations and structural transitions, as a function of its extension, in silico. We perform Brownian Dynamics (BD) simulations of pulling experiments at various speeds, following a protocol close to experimental ones. The results from the fluctuation theorems are compared with the estimates from Monte Carlo (MC) simulation, where the rugged free energy landscape is produced by the density of states method. The fluctuation theorems (FT) give accurate estimates of the free energy up to moderate pulling speeds. At higher pulling speeds, the work distributions do not efficiently sample the domain of small work and FT slightly overestimates free energy. In order to comprehend the differences, we analyze the work distributions from the BD simulations in the framework of trajectory thermodynamics and propose the generalized fluctuation theorems that take into account the information (relative entropy) evaluated in the expanded phase space. The measured work - free energy relation is consistent with the results obtained from the generalized fluctuation theorems. We discuss operational methods to improve the estimates at high pulling speed.

Indexed as

Soft Matter: Polymers and Polyelectrolytes

Identifiers

PMID33006688
OpenAlexW3091675937

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.