NMRFx: Integrated Software for NMR Data Processing, Visualization, Analysis and Structure Calculation

dc.contributor.authorKoag, Ellen
dc.contributor.authorHulse, Simon G.
dc.contributor.authorHelms, Gregory L.
dc.contributor.authorCall, Kevin M.
dc.contributor.authorSummers, Michael
dc.contributor.authorMarchant, Jan
dc.contributor.authorJohnson, Bruce A.
dc.date.accessioned2026-01-22T16:18:41Z
dc.date.issued2025-08-29
dc.description.abstractNMR spectroscopy is applied across a wide range of scientific disciplines to derive chemical, structural, and dynamical information for a broad and diverse range of molecular systems. The utility of the technique depends on robust computational protocols for processing, visualizing, and analyzing a wide range of experimental data types and transforming the data into useful chemical and structural information. Here we introduce NMRFx, a novel software application that integrates and augments features of our existing NMRViewJ and NMRFx Processor applications. NMRFx enables data processing, peak picking and assignment, chemical shift and molecular structure calculation, and beyond, through a high-speed, feature-rich graphical user interface. This paper describes advances over existing software and presents a series of case studies that demonstrate its utility in diverse contexts. These case studies include the assignments of the protein ubiquitin, a 36 nucleotide RNA construct, and the natural product taccalonolide E; and a metabolomics study of triacylglyceride production in algal cells.
dc.description.sponsorshipS.G.H. would like to thank Prof. Adam Schuyler, UConn Health, for useful discussions regarding the NUScon datasets. G.L.H. would like to thank Susan Mooberry and April Risinger, University of Texas Health San Antonio, for providing the sample of taccalonolide E and Rob Gardner (deceased), Bill Hiscox , Washington State University, Todd Pedersen, Brent Peyton and Robin Gerlach, Montana State University for assistance with growing the algae cultures and acquiring HRMAS data. G.L.H. would also like to thank the Washington State University Center for NMR Spectroscopy for providing instrument time to acquire data for both the taccalonolide E and algal metabolomics projects. This work was supported in part by grants from the National Institute of General Medical Sciences of the National Institutes of Health, R01GM123012 and RM1GM145397 to B.A.J., and the National Institute of Allergy and Infectious Diseases of the National Institutes of Health, U54 AI170660 to B.A.J., J.M., and M.F.S., and R01AI150498 to M.F.S., and from the Howard Hughes Medical Institute to M.F.S. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
dc.description.urihttps://www.biorxiv.org/content/10.1101/2025.08.26.672401v1
dc.format.extent36 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m2ofha-xejf
dc.identifier.urihttps://doi.org/10.1101/2025.08.26.672401
dc.identifier.urihttp://hdl.handle.net/11603/41488
dc.language.isoen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Chemistry & Biochemistry Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
dc.subjectUMBC Howard Hughes Medical Institute
dc.titleNMRFx: Integrated Software for NMR Data Processing, Visualization, Analysis and Structure Calculation
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-4267-4380
dcterms.creatorhttps://orcid.org/0000-0002-2418-6247

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