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Günther Boheim

Researcher at Ruhr University Bochum

Publications -  44
Citations -  2319

Günther Boheim is an academic researcher from Ruhr University Bochum. The author has contributed to research in topics: Alamethicin & Lipid bilayer. The author has an hindex of 23, co-authored 44 publications receiving 2288 citations. Previous affiliations of Günther Boheim include Humboldt State University & University of Konstanz.

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Journal ArticleDOI

Statistical analysis of alamethicin channels in black lipid membranes.

TL;DR: An aggregation model is proposed where transitions to the next higher or lower pore state occur by uptake or release of one monomer and it is assumed that alamethicin forms an elongated loop in the bilayer.
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Gadolinium-sensitive, voltage-dependent calcium release channels in the endoplasmic reticulum of a higher plant mechanoreceptor organ.

TL;DR: The calcium release channel described here is effectively blocked by Gd3+ which also completely suppresses a tendril's reaction to touch, suggesting that this channel could be a key element of calcium signaling in higher plant mechanotransduction.
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Alamethicin pore formation: Voltage-dependent flip-flop of α -helix dipoles

TL;DR: This model is consistent with published data and with two additional experimental facts, that pore state distributions are ionic strength dependent and poreState conductances depend on ionic current direction.
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Melittin and a chemically modified trichotoxin form alamethicin-type multi-state pores

TL;DR: Comparing structure and activity of several natural and synthetic amphiphilic polypeptides, it is concluded that a lipophilic, N-terminal alpha-helical part of adequate length (dipole moment) and a large enough hydrophilic, C- terminal region are sufficient prerequisites for voltage-dependent formation of multi-state pores.
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Analysis of the multi-pore system of alamethicin in a lipid membrane

TL;DR: In this article, the electrical properties of an alamethicin multi-pore system have been studied by voltage-jump current-relaxation experiments and by autocorrelation and spectral analysis.