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Beta-Hairpin Restraint Potentials for Calculations of Potentials of Mean Force as a Function of Beta-Hairpin Tilt, Rotation, and Distance

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dc.contributor.authorLee, Jinhyuk-
dc.contributor.authorHam, Sihyun-
dc.contributor.authorIm, Wonpil-
dc.date.available2021-02-22T14:17:09Z-
dc.date.issued2009-06-
dc.identifier.issn0192-8651-
dc.identifier.issn1096-987X-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/13748-
dc.description.abstractWe have developed a set of restraint potentials for beta-hairpin tilt relative to the membrane normal, beta-hairpin rotation around the beta-hairpin axis, and hairpin-hairpin distance. Such restraint potentials enable us to characterize the molecular basis of specific beta-hairpin tilt and rotation in membranes and hairpin-hairpin interactions at the atomic level by sampling their conformational space along these degrees of freedom, i.e., reaction coordinates, during molecular dynamics simulations. We illustrate the efficacy of the beta-hairpin restraint potentials by calculating the potentials of mean force (PMFs) as a function of tilt and rotation angles of protegrin-1 (PG-1), a beta-hairpin antimicrobial peptide, in an implicit membrane model. The peptide association in the membrane is also examined by calculating the PMFs as a function of distance between two PG-l peptides in various dimer interfaces. These novel restraint potentials are found to perform well in each of these cases and are expected to be a useful means to study the microscopic driving forces of insertion, tilting, and rotation of beta-hairpin peptides in membranes as well as their association in aqueous solvent or membrane environments particularly when combined with explicit solvent models. (C) 2008 Wiley Periodicals, Inc. J Comput Chem 30: 1334-1343, 2009-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherWILEY-
dc.titleBeta-Hairpin Restraint Potentials for Calculations of Potentials of Mean Force as a Function of Beta-Hairpin Tilt, Rotation, and Distance-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1002/jcc.21154-
dc.identifier.scopusid2-s2.0-66449133930-
dc.identifier.wosid000265307300015-
dc.identifier.bibliographicCitationJOURNAL OF COMPUTATIONAL CHEMISTRY, v.30, no.8, pp 1334 - 1343-
dc.citation.titleJOURNAL OF COMPUTATIONAL CHEMISTRY-
dc.citation.volume30-
dc.citation.number8-
dc.citation.startPage1334-
dc.citation.endPage1343-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.subject.keywordPlusSOLID-STATE NMR-
dc.subject.keywordPlusMOLECULAR-DYNAMICS SIMULATIONS-
dc.subject.keywordPlusEFFECTIVE ENERGY FUNCTION-
dc.subject.keywordPlusLIPID-BILAYERS-
dc.subject.keywordPlusANTIMICROBIAL PEPTIDE-
dc.subject.keywordPlusHYDROPHOBIC MISMATCH-
dc.subject.keywordPlusAMYLOID PROTOFILAMENTS-
dc.subject.keywordPlusGRAMICIDIN CHANNEL-
dc.subject.keywordPlusTACHYPLESIN-I-
dc.subject.keywordPlus3D STRUCTURE-
dc.subject.keywordAuthormolecular dynamics-
dc.subject.keywordAuthorimplicit membrane model-
dc.subject.keywordAuthorprotegrin-1 (PG-1)-
dc.subject.keywordAuthorantimicrobial peptide-
dc.subject.keywordAuthorfree energy decomposition-
dc.subject.keywordAuthorassociation energy-
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/full/10.1002/jcc.21154-
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