Evidence map›Paper›PMID 42681250›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Molecular Dynamics Simulation Analyses of the Conformational Change of an Escherichia coli Multidrug Exporter, MdfA.

Tohru Terada

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. 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
–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

0 citing papers in PubMed.

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

1 author.

Tohru TeradaDepartment of Biotechnology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan. tterada@bi.a.u-tokyo.ac.jp.ORCID https://orcid.org/0000-0002-7091-0646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics (MD) simulations are a powerful tool to investigate the dynamics and the conformational distributions of proteins. My collaborators and I applied them to study the proton transport-coupled conformational change of an Escherichia coli multidrug exporter, MdfA. In this chapter, I first describe the theoretical basis for studying the dynamics and the conformational distributions of a protein using MD simulations. Second, I describe the methods to construct the simulation system, in which the protein is embedded in a solvated lipid bilayer, and those employed to conduct the MD simulations and to analyze the results. Finally, I describe the problems that remain unsolved and present a plan to further study the transport mechanism of MdfA using MD methods.

Indexed as

Escherichia coliEscherichia coli ProteinsMembrane Transport ProteinsMolecular Dynamics SimulationLipid BilayersProtein ConformationThermodynamicsEscherichia coli ProteinsLipid BilayersMdfa protein, E coliMembrane Transport ProteinsConformational changeConformational distributionFree energyMolecular dynamicsNewton’s equations of motionPotential energy functionStatistical ensemble

Identifiers

PMID42681250

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.