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dc.contributor.authorUtesch, Tillmann
dc.contributor.authorde Miguel Catalina, Alejandra
dc.contributor.authorSchattenberg, Caspar
dc.contributor.authorPaege, Norman
dc.contributor.authorSchmieder, Peter
dc.contributor.authorKrause, Eberhard
dc.contributor.authorMiao, Yinglong
dc.contributor.authorMcCammon, J. Andrew
dc.contributor.authorMeyer, Vera
dc.contributor.authorJung, Sascha
dc.contributor.authorMroginski, Maria Andrea
dc.date.accessioned2020-12-01T22:53:17Z
dc.date.available2020-12-01T22:53:17Z
dc.date.issued2018-10-03
dc.identifier.citationUtesch, T., de Miguel Catalina, A., Schattenberg, C., Paege, N., Schmieder, P., Krause, E., Miao, Y., McCammon, J. A., Meyer, V., Jung, S., & Mroginski, M. A. (2018). A Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from Aspergillus giganteus with Fungal Membranes via Its γ-Core Motif. mSphere, 3(5), e00377-18. https://doi.org/10.1128/mSphere.00377-18en_US
dc.identifier.urihttp://hdl.handle.net/1808/30950
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractFungal pathogens kill more people per year globally than malaria or tuberculosis and threaten international food security through crop destruction. New sophisticated strategies to inhibit fungal growth are thus urgently needed. Among the potential candidate molecules that strongly inhibit fungal spore germination are small cationic, cysteine-stabilized proteins of the AFP family secreted by a group of filamentous Ascomycetes. Its founding member, AFP from Aspergillus giganteus, is of particular interest since it selectively inhibits the growth of filamentous fungi without affecting the viability of mammalian, plant, or bacterial cells. AFPs are also characterized by their high efficacy and stability. Thus, AFP can serve as a lead compound for the development of novel antifungals. Notably, all members of the AFP family comprise a γ-core motif which is conserved in all antimicrobial proteins from pro- and eukaryotes and known to interfere with the integrity of cytoplasmic plasma membranes. In this study, we used classical molecular dynamics simulations combined with wet laboratory experiments and nuclear magnetic resonance (NMR) spectroscopy to characterize the structure and dynamical behavior of AFP isomers in solution and their interaction with fungal model membranes. We demonstrate that the γ-core motif of structurally conserved AFP is the key for its membrane interaction, thus verifying for the first time that the conserved γ-core motif of antimicrobial proteins is directly involved in protein-membrane interactions. Furthermore, molecular dynamic simulations suggested that AFP does not destroy the fungal membrane by pore formation but covers its surface in a well-defined manner, using a multistep mechanism to destroy the membranes integrity.en_US
dc.description.sponsorshipNIH GM31749en_US
dc.description.sponsorshipNIH GM103426en_US
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (Cluster of Excellence ‘Unifying Concepts in Catalysis’ and SFB1078)en_US
dc.publisherAmerican Society for Microbiologyen_US
dc.rightsCopyright © 2018 Utesch et al.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectAFPen_US
dc.subjectAntifungal peptidesen_US
dc.subjectFungien_US
dc.subjectMembranesen_US
dc.subjectModelingen_US
dc.subjectMolecular dynamicsen_US
dc.subjectNuclear magnetic resonanceen_US
dc.titleA Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from Aspergillus giganteus with Fungal Membranes via Its γ-Core Motifen_US
dc.typeArticleen_US
kusw.kuauthorMiao, Yinglong
kusw.kudepartmentCenter for Computational Biologyen_US
kusw.kudepartmentMolecular Biosciencesen_US
dc.identifier.doi10.1128/mSphere.00377-18en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7497-5631en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC6170789en_US
dc.rights.accessrightsopenAccessen_US


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Copyright © 2018 Utesch et al.
Except where otherwise noted, this item's license is described as: Copyright © 2018 Utesch et al.