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Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins

Modeling membrane protein (MP) folding, insertion, association and their interactions with other proteins, lipids, and drugs requires accurate transfer free energies (TFEs). Various TFE scales have been derived to quantify the energy required or released to insert an amino acid or protein into the m...

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Autores principales: Koehler Leman, Julia, Bonneau, Richard, Ulmschneider, Martin B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849751/
https://www.ncbi.nlm.nih.gov/pubmed/29535329
http://dx.doi.org/10.1038/s41598-018-22476-6
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author Koehler Leman, Julia
Bonneau, Richard
Ulmschneider, Martin B.
author_facet Koehler Leman, Julia
Bonneau, Richard
Ulmschneider, Martin B.
author_sort Koehler Leman, Julia
collection PubMed
description Modeling membrane protein (MP) folding, insertion, association and their interactions with other proteins, lipids, and drugs requires accurate transfer free energies (TFEs). Various TFE scales have been derived to quantify the energy required or released to insert an amino acid or protein into the membrane. Experimental measurement of TFEs is challenging, and only few scales were extended to depth-dependent energetic profiles. Statistical approaches can be used to derive such potentials; however, this requires a sufficient number of MP structures. Furthermore, MPs are tightly coupled to bilayers that are heterogeneous in terms of lipid composition, asymmetry, and protein content between organisms and organelles. Here we derived asymmetric implicit membrane potentials from β-barrel and α-helical MPs and use them to predict topology, depth and orientation of proteins in the membrane. Our data confirm the ‘charge-outside’ and ‘positive-inside’ rules for β-barrels and α-helical proteins, respectively. We find that the β-barrel profiles have greater asymmetry than the ones from α-helical proteins, as a result of the different membrane architecture of gram-negative bacterial outer membranes and the existence of lipopolysaccharide in the outer leaflet. Our data further suggest that pore-facing residues in β-barrels have a larger contribution to membrane insertion and stability than previously suggested.
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spelling pubmed-58497512018-03-21 Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins Koehler Leman, Julia Bonneau, Richard Ulmschneider, Martin B. Sci Rep Article Modeling membrane protein (MP) folding, insertion, association and their interactions with other proteins, lipids, and drugs requires accurate transfer free energies (TFEs). Various TFE scales have been derived to quantify the energy required or released to insert an amino acid or protein into the membrane. Experimental measurement of TFEs is challenging, and only few scales were extended to depth-dependent energetic profiles. Statistical approaches can be used to derive such potentials; however, this requires a sufficient number of MP structures. Furthermore, MPs are tightly coupled to bilayers that are heterogeneous in terms of lipid composition, asymmetry, and protein content between organisms and organelles. Here we derived asymmetric implicit membrane potentials from β-barrel and α-helical MPs and use them to predict topology, depth and orientation of proteins in the membrane. Our data confirm the ‘charge-outside’ and ‘positive-inside’ rules for β-barrels and α-helical proteins, respectively. We find that the β-barrel profiles have greater asymmetry than the ones from α-helical proteins, as a result of the different membrane architecture of gram-negative bacterial outer membranes and the existence of lipopolysaccharide in the outer leaflet. Our data further suggest that pore-facing residues in β-barrels have a larger contribution to membrane insertion and stability than previously suggested. Nature Publishing Group UK 2018-03-13 /pmc/articles/PMC5849751/ /pubmed/29535329 http://dx.doi.org/10.1038/s41598-018-22476-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Koehler Leman, Julia
Bonneau, Richard
Ulmschneider, Martin B.
Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins
title Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins
title_full Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins
title_fullStr Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins
title_full_unstemmed Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins
title_short Statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins
title_sort statistically derived asymmetric membrane potentials from α-helical and β-barrel membrane proteins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849751/
https://www.ncbi.nlm.nih.gov/pubmed/29535329
http://dx.doi.org/10.1038/s41598-018-22476-6
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