Evidence map›Paper›PMID 34523933›Full record

ArticleJournal of chemical theory and computation2021

Relative Affinities of Protein-Cholesterol Interactions from Equilibrium Molecular Dynamics Simulations.

T Bertie Ansell, Luke Curran, Michael R Horrell, Tanadet Pipatpolkai, Suzanne C Letham, Wanling Song, Christian Siebold, Phillip J Stansfeld, Mark S P Sansom, Robin A Corey

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

T Bertie AnsellDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K.
Luke CurranDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K.
Michael R HorrellDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K.
Tanadet PipatpolkaiDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K.
Suzanne C LethamDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K.
Wanling SongDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K.
Christian SieboldDivision of Structural Biology, Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, U.K.
Phillip J StansfeldSchool of Life Sciences and Department of Chemistry, University of Warwick, Coventry, CV4 7AL, U.K.
Mark S P SansomDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K.ORCID https://orcid.org/0000-0001-6360-7959
Robin A CoreyDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K.ORCID https://orcid.org/0000-0003-1820-7993
University of Oxford · GBCentre for Human Genetics · GBUniversity of Warwick · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1Biotechnology and Biological Sciences Research Council BB/R00126X/1Cancer Research UK 26752Medical Research Council MR/S009213/1Wellcome Trust
6 · The paper itself

Abstract

Specific interactions of lipids with membrane proteins contribute to protein stability and function. Multiple lipid interactions surrounding a membrane protein are often identified in molecular dynamics (MD) simulations and are, increasingly, resolved in cryo-electron microscopy (cryo-EM) densities. Determining the relative importance of specific interaction sites is aided by determination of lipid binding affinities using experimental or simulation methods. Here, we develop a method for determining protein-lipid binding affinities from equilibrium coarse-grained MD simulations using binding saturation curves, designed to mimic experimental protocols. We apply this method to directly obtain affinities for cholesterol binding to multiple sites on a range of membrane proteins and compare our results with free energies obtained from density-based equilibrium methods and with potential of mean force calculations, getting good agreement with respect to the ranking of affinities for different sites. Thus, our binding saturation method provides a robust, high-throughput alternative for determining the relative consequence of individual sites seen in, e.g., cryo-EM derived membrane protein structures surrounded by an array of ancillary lipid densities.

Indexed as

CholesterolMolecular Dynamics SimulationCryoelectron MicroscopyLipidsMembrane ProteinsCholesterolLipidsMembrane Proteins

Identifiers

PMID34523933
PMCPMC8515805
OpenAlexW3196360555

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.