Assigning NMR spectra of RNA, peptides and small organic molecules using molecular network visualization software

dc.contributor.authorMarchant, Jan
dc.contributor.authorSummers, Michael F.
dc.contributor.authorJohnson, Bruce A.
dc.date.accessioned2019-10-02T15:15:11Z
dc.date.available2019-10-02T15:15:11Z
dc.date.issued2019-07-19
dc.description.abstractNMR assignment typically involves analysis of peaks across multiple NMR spectra. Chemical shifts of peaks are measured before being assigned to atoms using a variety of methods. These approaches quickly become complicated by overlap, ambiguity, and the complexity of correlating assignments among multiple spectra. Here we propose an alternative approach in which a network of linked peak-boxes is generated at the predicted positions of peaks across all spectra. These peak-boxes correlate known relationships and can be matched to the observed spectra. The method is illustrated with RNA, but a variety of molecular types should be readily tractable with this approach.en_US
dc.description.sponsorshipThis work was supported in part by grants from the National Institute of General Medical Sciences of the National Institutes of Health (U54 GM 103297 to BAJ and JM, R01 GM 123012 to BAJ, and GM 42561 to MFS). The content is solely the responsibility of the authors and does not necessarily represent the ofcial views of the National Institutes of Health.en_US
dc.format.extent5 pagesen_US
dc.genreJournal Articlesen_US
dc.identifierdoi:10.13016/m2o1ws-f0ts
dc.identifier.citationJournal Article Assigning NMR spectra of RNA, peptides and small organic molecules using molecular network visualization software Marchant, Jan Summers, Michael F. Johnson, Bruce A. Journal of Biomolecular NMR 2019 July 19 1573-5001 Marchant2019 NMR assignment typically involves analysis of peaks across multiple NMR spectra. Chemical shifts of peaks are measured before being assigned to atoms using a variety of methods. These approaches quickly become complicated by overlap, ambiguity, and the complexity of correlating assignments among multiple spectra. Here we propose an alternative approach in which a network of linked peak-boxes is generated at the predicted positions of peaks across all spectra. These peak-boxes correlate known relationships and can be matched to the observed spectra. The method is illustrated with RNA, but a variety of molecular types should be readily tractable with this approach. journal article 10.1007/s10858-019-00271-3 https://doi.org/10.1007/s10858-019-00271-3en_US
dc.identifier.urihttps://doi.org/10.1007/s10858-019-00271-3
dc.identifier.urihttp://hdl.handle.net/11603/14960
dc.language.isoen_USen_US
dc.publisherSpringer Netherlandsen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Chemistry & Biochemistry Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectRNAen_US
dc.subjectPeptidesen_US
dc.subjectChemical shift assignmenten_US
dc.subjectPredictionen_US
dc.subjectSoftwareen_US
dc.titleAssigning NMR spectra of RNA, peptides and small organic molecules using molecular network visualization softwareen_US
dc.typeTexten_US

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