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https://doi.org/10.1101/191650...
Article . 2017 . Peer-reviewed
License: CC BY NC ND
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Protein Science
Article
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Protein Science
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Protein Science
Article . 2020
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GeTFEP: A general transfer free energy profile of transmembrane proteins

Authors: Wei Tian; Hammad Naveed; Meishan Lin; Jie Liang;

GeTFEP: A general transfer free energy profile of transmembrane proteins

Abstract

AbstractFree energy of transferring amino acid side–chains from aqueous environment into lipid bilayers, known as transfer free energy (TFE), provides important information on the thermodynamic stability of membrane proteins. In this study, we derived a TFE profile named General Transfer Free Energy Profile (GeTFEP) based on computation of the TFEs of 58β–barrel membrane proteins (βMPs). The GeTFEP agrees well with experimentally measured and computationally derived TFEs. Analysis based on the GeTFEP shows that residues in different regions of the TM segments ofβMPs have different roles during the membrane insertion process. Results further reveal the importance of the sequence pattern of transmembrane strands in stabilizingβMPs in the membrane environment. In addition, we show that GeTFEP can be used to predict the positioning and the orientation ofβMPs in the membrane. We also show that GeTFEP can be used to identify structurally or functionally important amino acid residue sites ofβMPs. Furthermore, the TM segments ofα–helical membrane proteins can be accurately predicted with GeTFEP, suggesting that the GeTFEP captures fundamental thermodynamic properties of amino acid residues inside membrane, and is of general applicability in studying membrane protein.

Keywords

Lipid Bilayers, Membrane Proteins, Thermodynamics, Amino Acids, Hydrophobic and Hydrophilic Interactions, Algorithms

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
hybrid