Evidence map›Paper›PMID 30638009›Full record

ArticleThe journal of physical chemistry. B2019

Understanding Membrane Domain-Partitioning Thermodynamics of Transmembrane Domains with Potential of Mean Force Calculations.

Xubo Lin, Alemayehu A Gorfe

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

2 authors.

Xubo LinBeijing Advanced Innovation Center for Biomedical Engineering , Beihang University , Beijing 100083 , China.ORCID 0000-0002-4417-3582
Alemayehu A GorfeDepartment of Integrative Biology and Pharmacology, McGovern Medical School , The University of Texas Health Science Center at Houston , Houston , Texas 77030 , United States.ORCID 0000-0002-9328-4692

Funding

Nanoclusters of Lipid-anchored Proteins in Membranes: How and where they appearR01GM100078 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI GORFE, ALEMAYEHU A. · 2012 to 2016
$1.4M
NIGMS NIH HHS R01 GM100078
6 · The paper itself

Abstract

The transmembrane domain (TMD) of membrane proteins plays an essential role in their dynamics and functions. Certain properties of TMDs, such as raft affinity and orientation, have been studied extensively both experimentally and computationally. However, the extent to which specific physicochemical properties of TMDs determine their membrane domain-partitioning thermodynamics is still far from clear. In this work, we propose an approach based on umbrella sampling molecular dynamics simulations of model membranes and idealized TMDs to quantify the effect of TMD physicochemical properties, namely, length, degree of hydrophobicity, and size of TMDs, on their membrane domain-partitioning thermodynamics. The results, which are fully consistent with previous experimental and simulation data, indicate that the concept of "hydrophobic mismatch" should go beyond differences in hydrophobic thickness to include mismatch in the degree of hydrophobicity between the TMD and the surrounding hydrocarbon lipid chains. Our method provides quantitative insights into the role of specific physicochemical features of TMDs in membrane localization and orientation, which will be broadly useful for predicting the raft affinity and membrane partitioning of any transmembrane protein.

Indexed as

1,2-DipalmitoylphosphatidylcholineCholesterolHydrophobic and Hydrophilic InteractionsMembrane MicrodomainsMembrane ProteinsMolecular Dynamics SimulationPhosphatidylcholinesProtein DomainsThermodynamics1,2-diarachidonoyl-glycero-3-phosphocholine1,2-DipalmitoylphosphatidylcholineCholesterolMembrane ProteinsPhosphatidylcholines

Identifiers

PMID30638009
PMCPMC7876728

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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.