Evidence map›Paper›PMID 21816133›Full record

ArticleBiochimica et biophysica acta2012

Outer membrane phospholipase A in phospholipid bilayers: a model system for concerted computational and experimental investigations of amino acid side chain partitioning into lipid bilayers.

Patrick J Fleming, J Alfredo Freites, C Preston Moon, Douglas J Tobias, Karen G Fleming

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Membrane proteins enter the fold.Current opinion in structural biology · 2021
    Review
  3. Local Bilayer Hydrophobicity Modulates Membrane Protein Stability.Journal of the American Chemical Society · 2021
    Article
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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.

Patrick J FlemingT. C. Jenkins Department of Biophysics, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA.
J Alfredo Freites
C Preston Moon
Douglas J Tobias
Karen G Fleming

Funding

PROGRAM IN MOLECULAR BIOPHYSICST32GM008403 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BARRICK, DOUGLAS E. · 1990 to 2019
$13.5M
Project 3: Structural Studies of Voltage-Gated Potassium Channels as FunctionP01GM086685 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI WORCESTER, DAVID · 2009 to 2013
$6.7M
Membrane Protein StabilityR01GM079440 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI FLEMING, KAREN G. · 2009 to 2022
$4.1M
NIGMS NIH HHS 1P01 GM86685NIGMS NIH HHS P01 GM086685NIGMS NIH HHS R01 GM079440NIGMS NIH HHS T32 GM008403
6 · The paper itself

Abstract

Understanding the forces that stabilize membrane proteins in their native states is one of the contemporary challenges of biophysics. To date, estimates of side chain partitioning free energies from water to the lipid environment show disparate values between experimental and computational measures. Resolving the disparities is particularly important for understanding the energetic contributions of polar and charged side chains to membrane protein function because of the roles these residue types play in many cellular functions. In general, computational free energy estimates of charged side chain partitioning into bilayers are much larger than experimental measurements. However, the lack of a protein-based experimental system that uses bilayers against which to vet these computational predictions has traditionally been a significant drawback. Moon & Fleming recently published a novel hydrophobicity scale that was derived experimentally by using a host-guest strategy to measure the side chain energetic perturbation due to mutation in the context of a native membrane protein inserted into a phospholipid bilayer. These values are still approximately an order of magnitude smaller than computational estimates derived from molecular dynamics calculations from several independent groups. Here we address this discrepancy by showing that the free energy differences between experiment and computation become much smaller if the appropriate comparisons are drawn, which suggests that the two fields may in fact be converging. In addition, we present an initial computational characterization of the Moon & Fleming experimental system used for the hydrophobicity scale: OmpLA in DLPC bilayers. The hydrophobicity scale used OmpLA position 210 as the guest site, and our preliminary results demonstrate that this position is buried in the center of the DLPC membrane, validating its usage in the experimental studies. We further showed that the introduction of charged Arg at position 210 is well tolerated in OmpLA and that the DLPC bilayers accommodate this perturbation by creating a water dimple that allows the Arg side chain to remain hydrated. Lipid head groups visit the dimple and can hydrogen bond with Arg, but these interactions are transient. Overall, our study demonstrates the unique advantages of this molecular system because it can be interrogated by both computational and experimental practitioners, and it sets the stage for free energy calculations in a system for which there is unambiguous experimental data. This article is part of a Special Issue entitled: Membrane protein structure and function.

Indexed as

Amino AcidsBacterial Outer Membrane ProteinsCell MembraneComputational BiologyHydrogen BondingHydrophobic and Hydrophilic InteractionsLipid BilayersModels, BiologicalMolecular Dynamics SimulationPhospholipases A1PhospholipidsAmino AcidsBacterial Outer Membrane ProteinsLipid Bilayersouter membrane phospholipase APhospholipases A1Phospholipids

Identifiers

PMID21816133
PMCPMC3233656

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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.