Evidence map›Paper›PMID 38478286›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Recent Advances in Modeling Membrane β-Barrel Proteins Using Molecular Dynamics Simulations: From Their Lipid Environments to Their Assemblies.

Anna L Duncan, Ya Gao, Evert Haanappel, Wonpil Im, Matthieu Chavent

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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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.

Anna L DuncanDepartment of Chemistry, Aarhus University, Aarhus, Denmark.
Ya GaoSchool of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai, China.
Evert HaanappelInstitut de Pharmacologie et Biologie Structurale, CNRS, Université de Toulouse, Toulouse, France.
Wonpil ImDepartment of Biological Sciences, Department of Chemistry, Department of Bioengineering, Lehigh University, Bethlehem, PA, USA.
Matthieu ChaventInstitut de Pharmacologie et Biologie Structurale, CNRS, Université de Toulouse, Toulouse, France. matthieu.chavent@univ-tlse3.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spurred by advances in AI-driven modeling and experimental methods, molecular dynamics simulations are now acting as a platform to integrate these different approaches. This combination of methods is especially useful to understand β-barrel proteins from the molecular level, e.g., identifying specific interactions with lipids or small molecules, up to assemblies comprised of hundreds of proteins and thousands of lipids. In this minireview, we will discuss recent advances, mainly from the last 5 years, in modeling β-barrel proteins and their assemblies. These approaches require specific kinds of modeling and potentially different model resolutions that we will first describe in Subheading 1. We will then focus on different aspects of β-barrel protein modeling: how different types of molecules can diffuse through β-barrel proteins (Subheading 2); how lipids can interact with these proteins (Subheading 3); how β-barrel proteins can interact with membrane partners (Subheading 4) or periplasmic extensions and partners (Subheading 5) to form large assemblies.

Indexed as

Membrane ProteinsMolecular Dynamics SimulationBacterial Outer Membrane ProteinsLipidsPeriplasmBacterial Outer Membrane ProteinsLipidsMembrane ProteinsMolecular dynamicsMultiscale modelingOuter membrane proteinsProtein-lipid interactionsProtein-protein interactions

Identifiers

PMID38478286

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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.