Evidence map›Paper›PMID 27807980›Full record

ArticleThe journal of physical chemistry. B2017

Convergence and Sampling in Determining Free Energy Landscapes for Membrane Protein Association.

Jan Domański, George Hedger, Robert B Best, Phillip J Stansfeld, Mark S P Sansom

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  5. STIM1 transmembrane helix dimerization captured by AI-guided transition path sampling.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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.

Jan DomańskiDepartment of Biochemistry, University of Oxford , South Parks Road, Oxford OX1 3QU, U.K.
George HedgerDepartment of Biochemistry, University of Oxford , South Parks Road, Oxford OX1 3QU, U.K.
Robert B BestLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda, Maryland 20892-0520, United States.
Phillip J StansfeldDepartment of Biochemistry, University of Oxford , South Parks Road, Oxford OX1 3QU, U.K.
Mark S P SansomDepartment of Biochemistry, University of Oxford , South Parks Road, Oxford OX1 3QU, U.K.ORCID 0000-0001-6360-7959

Funding

Understanding protein folding, evolution and function via molecular simulationZIADK075104 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BEST, ROBERT · 2013 to 2025
$13.7M
Biotechnology and Biological Sciences Research Council BB/I019855/1Biotechnology and Biological Sciences Research Council BB/L002558/1Biotechnology and Biological Sciences Research Council BB/R00126X/1Medical Research CouncilWellcome TrustWellcome Trust WT100946AIA
6 · The paper itself

Abstract

Potential of mean force (PMF) calculations are used to characterize the free energy landscape of protein-lipid and protein-protein association within membranes. Coarse-grained simulations allow binding free energies to be determined with reasonable statistical error. This accuracy relies on defining a good collective variable to describe the binding and unbinding transitions, and upon criteria for assessing the convergence of the simulation toward representative equilibrium sampling. As examples, we calculate protein-lipid binding PMFs for ANT/cardiolipin and Kir2.2/PIP

Indexed as

Molecular Dynamics SimulationThermodynamicsLipid BilayersLipidsMembrane ProteinsProtein BindingLipid BilayersLipidsMembrane Proteins

Identifiers

PMID27807980
PMCPMC5402295

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.