Evidence map›Paper›PMID 31427701›Full record

ArticleScientific reports2019

A comprehensive computational study of amino acid interactions in membrane proteins.

Mame Ndew Mbaye, Qingzhen Hou, Sankar Basu, Fabian Teheux, Fabrizio Pucci, Marianne Rooman

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 63 citations in OpenAlex.

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  9. Identification of Kunitz-Type Inhibitor Gene Family ofInternational journal of molecular sciences · 2024
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  10. KAT6A Condensates Impair PARP1 Trapping of PARP Inhibitors in Ovarian Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

6 authors at 1 institution in 3 countries.

Mame Ndew MbayeComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
Qingzhen HouComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
Sankar BasuComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.ORCID http://orcid.org/0000-0003-1393-1982
Fabian TeheuxComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
Fabrizio PucciComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
Marianne RoomanComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium. mrooman@ulb.ac.be.
Université Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transmembrane proteins play a fundamental role in a wide series of biological processes but, despite their importance, they are less studied than globular proteins, essentially because their embedding in lipid membranes hampers their experimental characterization. In this paper, we improved our understanding of their structural stability through the development of new knowledge-based energy functions describing amino acid pair interactions that prevail in the transmembrane and extramembrane regions of membrane proteins. The comparison of these potentials and those derived from globular proteins yields an objective view of the relative strength of amino acid interactions in the different protein environments, and their role in protein stabilization. Separate potentials were also derived from α-helical and β-barrel transmembrane regions to investigate possible dissimilarities. We found that, in extramembrane regions, hydrophobic residues are less frequent but interactions between aromatic and aliphatic amino acids as well as aromatic-sulfur interactions contribute more to stability. In transmembrane regions, polar residues are less abundant but interactions between residues of equal or opposite charges or non-charged polar residues as well as anion-π interactions appear stronger. This shows indirectly the preference of the water and lipid molecules to interact with polar and hydrophobic residues, respectively. We applied these new energy functions to predict whether a residue is located in the trans- or extramembrane region, and obtained an AUC score of 83% in cross validation, which demonstrates their accuracy. As their application is, moreover, extremely fast, they are optimal instruments for membrane protein design and large-scale investigations of membrane protein stability.

Indexed as

Computational BiologyModels, MolecularAlgorithmsAmino AcidsHydrophobic and Hydrophilic InteractionsMembrane ProteinsProtein ConformationSaltsStatic ElectricityStructure-Activity RelationshipAmino AcidsMembrane ProteinsSalts

Identifiers

PMID31427701
PMCPMC6700154
OpenAlexW2969466971

What OpenQuestion 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 OpenQuestion graph.