Time-resolved multidimensional NMR with non-uniform sampling View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-02

AUTHORS

Maxim Mayzel, Joakim Rosenlöw, Linnéa Isaksson, Vladislav Y. Orekhov

ABSTRACT

Time-resolved experiments demand high resolution both in spectral dimensions and in time of the studied kinetic process. The latter requirement traditionally prohibits applications of the multidimensional experiments, which, although capable of providing invaluable information about structure and dynamics and almost unlimited spectral resolution, require too lengthy data collection. Our work shows that the problem has a solution in using modern methods of NMR data collection and signal processing. A continuous fast pulsing three-dimensional experiment is acquired using non-uniform sampling during full time of the studied reaction. High sensitivity and time-resolution of a few minutes is achieved by simultaneous processing of the full data set with the multi-dimensional decomposition. The method is verified and illustrated in realistic simulations and by measuring deuterium exchange rates of amide protons in ubiquitin. We applied the method for characterizing kinetics of in vitro phosphorylation of two tyrosine residues in an intrinsically disordered cytosolic domain of the B cell receptor protein CD79b. Signals of many residues including tyrosines in both phosphorylated and unmodified forms of CD79b are found in a heavily crowded region of 2D ¹H-¹⁵N correlation spectrum and the significantly enhanced spectral resolution provided by the 3D time-resolved approach was essential for the quantitative site-specific analysis. More... »

PAGES

129-139

References to SciGraph publications

  • 2001-11. MUNIN: Application of three-way decomposition to the analysis of heteronuclear NMR relaxation data** in JOURNAL OF BIOMOLECULAR NMR
  • 2011. Applications of Non-Uniform Sampling and Processing in NOVEL SAMPLING APPROACHES IN HIGHER DIMENSIONAL NMR
  • 2011-01. A novel strategy for NMR resonance assignment and protein structure determination in JOURNAL OF BIOMOLECULAR NMR
  • 2012-11. Cell signaling, post-translational protein modifications and NMR spectroscopy in JOURNAL OF BIOMOLECULAR NMR
  • 1999-11. Random-coil chemical shifts of phosphorylated amino acids in JOURNAL OF BIOMOLECULAR NMR
  • 2012-08. Phosphorylation of histone H3 Ser10 establishes a hierarchy for subsequent intramolecular modification events in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2011-01. Recovering lost magnetization: polarization enhancement in biomolecular NMR in JOURNAL OF BIOMOLECULAR NMR
  • 2013-07. Site-specific NMR mapping and time-resolved monitoring of serine and threonine phosphorylation in reconstituted kinase reactions and mammalian cell extracts in NATURE PROTOCOLS
  • 2006-04. ITAM-mediated tonic signalling through pre-BCR and BCR complexes in NATURE REVIEWS IMMUNOLOGY
  • 2004-04. Quantitation of rapid proton-deuteron amide exchange using hadamard spectroscopy in JOURNAL OF BIOMOLECULAR NMR
  • 2008-03. In situ observation of protein phosphorylation by high-resolution NMR spectroscopy in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2009-11. NMR spectroscopy brings invisible protein states into focus in NATURE CHEMICAL BIOLOGY
  • 1995-10. Following protein folding in real time using NMR spectroscopy in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2006-08. Removal of a time barrier for high-resolution multidimensional NMR spectroscopy in NATURE METHODS
  • 2001-05. MUNIN: A new approach to multi-dimensional NMR spectra interpretation in JOURNAL OF BIOMOLECULAR NMR
  • 2005-09. Optimization of resolution and sensitivity of 4D NOESY using Multi-dimensional Decomposition in JOURNAL OF BIOMOLECULAR NMR
  • 1995-11. NMRPipe: A multidimensional spectral processing system based on UNIX pipes in JOURNAL OF BIOMOLECULAR NMR
  • 2009-01. An improved ultrafast 2D NMR experiment: Towards atom-resolved real-time studies of protein kinetics at multi-Hz rates in JOURNAL OF BIOMOLECULAR NMR
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10858-013-9811-1

    DOI

    http://dx.doi.org/10.1007/s10858-013-9811-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1040305368

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24435565


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "CD79 Antigens", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Carbon Isotopes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nitrogen Isotopes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nuclear Magnetic Resonance, Biomolecular", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phosphorylation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Proteins", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Gothenburg", 
              "id": "https://www.grid.ac/institutes/grid.8761.8", 
              "name": [
                "The Swedish NMR Centre, University of Gothenburg, Box 465, 40530, G\u00f6teborg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mayzel", 
            "givenName": "Maxim", 
            "id": "sg:person.01016471437.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016471437.77"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Gothenburg", 
              "id": "https://www.grid.ac/institutes/grid.8761.8", 
              "name": [
                "The Swedish NMR Centre, University of Gothenburg, Box 465, 40530, G\u00f6teborg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rosenl\u00f6w", 
            "givenName": "Joakim", 
            "id": "sg:person.01201033237.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201033237.09"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Gothenburg", 
              "id": "https://www.grid.ac/institutes/grid.8761.8", 
              "name": [
                "The Swedish NMR Centre, University of Gothenburg, Box 465, 40530, G\u00f6teborg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Isaksson", 
            "givenName": "Linn\u00e9a", 
            "id": "sg:person.01105222312.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105222312.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Gothenburg", 
              "id": "https://www.grid.ac/institutes/grid.8761.8", 
              "name": [
                "The Swedish NMR Centre, University of Gothenburg, Box 465, 40530, G\u00f6teborg, Sweden"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Orekhov", 
            "givenName": "Vladislav Y.", 
            "id": "sg:person.01342134726.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342134726.76"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1002/anie.201100370", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000528598"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00197809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001469691", 
              "https://doi.org/10.1007/bf00197809"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00197809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001469691", 
              "https://doi.org/10.1007/bf00197809"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja301895f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003626440"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-012-9674-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003962282", 
              "https://doi.org/10.1007/s10858-012-9674-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bip.20761", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004120819"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c2cp40174f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004182129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cbic.201300139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006199635"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmr.2013.08.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007451787"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-005-1363-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007786591", 
              "https://doi.org/10.1007/s10858-005-1363-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-005-1363-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007786591", 
              "https://doi.org/10.1007/s10858-005-1363-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/anie.201210005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008329008"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0079-6565(03)00022-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009031531"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0079-6565(03)00022-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009031531"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja302598j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011173026"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmr.2003.12.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012894075"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmr.2012.01.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013273599"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pro.5560021202", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013929740"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-010-9461-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014034223", 
              "https://doi.org/10.1007/s10858-010-9461-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1012982830367", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014595474", 
              "https://doi.org/10.1023/a:1012982830367"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/protein/gzm081", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015130681"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1008375029746", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018945939", 
              "https://doi.org/10.1023/a:1008375029746"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-010-9458-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021296203", 
              "https://doi.org/10.1007/s10858-010-9458-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nchembio.238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022049554", 
              "https://doi.org/10.1038/nchembio.238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nchembio.238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022049554", 
              "https://doi.org/10.1038/nchembio.238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0504818102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022152168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nsb1095-865", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025982078", 
              "https://doi.org/10.1038/nsb1095-865"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmr.2012.08.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026505789"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0079-6565(01)00032-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028673192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nsmb.1395", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029995688", 
              "https://doi.org/10.1038/nsmb.1395"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmr.2005.02.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032207018"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri1808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032859955", 
              "https://doi.org/10.1038/nri1808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri1808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032859955", 
              "https://doi.org/10.1038/nri1808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0062947", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033307695"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-008-9284-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033614224", 
              "https://doi.org/10.1007/s10858-008-9284-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymeth.2004.03.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034280048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymeth.2004.03.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034280048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nsmb.2310", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037479810", 
              "https://doi.org/10.1038/nsmb.2310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1011234126930", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039986240", 
              "https://doi.org/10.1023/a:1011234126930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1218173110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040996597"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cphc.201300277", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041105476"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth900", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042043764", 
              "https://doi.org/10.1038/nmeth900"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth900", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042043764", 
              "https://doi.org/10.1038/nmeth900"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pnmrs.2011.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043610189"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja054656+", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044235988"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja054656+", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044235988"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja051306e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044247196"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja051306e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044247196"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/anie.201100440", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045326434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/cr030403s", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047248593"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/cr030403s", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047248593"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0076-6879(02)38219-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048588612"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja047241h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048771833"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja047241h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048771833"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/128_2011_187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050639050", 
              "https://doi.org/10.1007/128_2011_187"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:jnmr.0000015406.66725.30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052050673", 
              "https://doi.org/10.1023/b:jnmr.0000015406.66725.30"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2013.083", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053253357", 
              "https://doi.org/10.1038/nprot.2013.083"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bi00161a019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055163230"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja044032o", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055836105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja044032o", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055836105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja0564158", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055840450"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja0564158", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055840450"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja066915g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055843502"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja066915g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055843502"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja077282o", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055846415"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja077282o", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055846415"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja106764y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055848287"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja106764y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055848287"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja209004q", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055851206"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja307445y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055853189"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja310214g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055853643"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja406682e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055855092"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja902012x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055861030"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja902012x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055861030"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja907717b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055862542"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja907717b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055862542"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jm020866a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055947632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jm020866a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055947632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jp2081116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056085540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jp2081116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056085540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jp3005794", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056087850"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.274.5290.1161", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062554834"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082427268", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014-02", 
        "datePublishedReg": "2014-02-01", 
        "description": "Time-resolved experiments demand high resolution both in spectral dimensions and in time of the studied kinetic process. The latter requirement traditionally prohibits applications of the multidimensional experiments, which, although capable of providing invaluable information about structure and dynamics and almost unlimited spectral resolution, require too lengthy data collection. Our work shows that the problem has a solution in using modern methods of NMR data collection and signal processing. A continuous fast pulsing three-dimensional experiment is acquired using non-uniform sampling during full time of the studied reaction. High sensitivity and time-resolution of a few minutes is achieved by simultaneous processing of the full data set with the multi-dimensional decomposition. The method is verified and illustrated in realistic simulations and by measuring deuterium exchange rates of amide protons in ubiquitin. We applied the method for characterizing kinetics of in vitro phosphorylation of two tyrosine residues in an intrinsically disordered cytosolic domain of the B cell receptor protein CD79b. Signals of many residues including tyrosines in both phosphorylated and unmodified forms of CD79b are found in a heavily crowded region of 2D \u00b9H-\u00b9\u2075N correlation spectrum and the significantly enhanced spectral resolution provided by the 3D time-resolved approach was essential for the quantitative site-specific analysis.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10858-013-9811-1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1101518", 
            "issn": [
              "0925-2738", 
              "1573-5001"
            ], 
            "name": "Journal of Biomolecular NMR", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "58"
          }
        ], 
        "name": "Time-resolved multidimensional NMR with non-uniform sampling", 
        "pagination": "129-139", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "bfff571a7ee193c00736037839e0ecc2b82f9cb0e6f6a074915af4c8b2a1f43d"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "24435565"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9110829"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10858-013-9811-1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1040305368"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10858-013-9811-1", 
          "https://app.dimensions.ai/details/publication/pub.1040305368"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:11", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000367_0000000367/records_88253_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s10858-013-9811-1"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10858-013-9811-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10858-013-9811-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10858-013-9811-1'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10858-013-9811-1'


     

    This table displays all metadata directly associated to this object as RDF triples.

    324 TRIPLES      21 PREDICATES      99 URIs      28 LITERALS      16 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10858-013-9811-1 schema:about N250fd82f784a4e0187f78ac5922571f1
    2 N4210319b33144d8dbba3d12df6c41e0f
    3 N5683b248391141e0a0bb55d0c34c78c1
    4 N7a39408eee784233b71c0ecb7dc026aa
    5 N7ae0dc39b7174fd4a989f0cf5ccfef6a
    6 N88f9681b162d494cb5a995306fd53af0
    7 N9853cd609b06450eb68e2758113e7015
    8 anzsrc-for:08
    9 anzsrc-for:0801
    10 schema:author N835bc5e082a240d2a643e9e93f13a56d
    11 schema:citation sg:pub.10.1007/128_2011_187
    12 sg:pub.10.1007/bf00197809
    13 sg:pub.10.1007/s10858-005-1363-6
    14 sg:pub.10.1007/s10858-008-9284-9
    15 sg:pub.10.1007/s10858-010-9458-0
    16 sg:pub.10.1007/s10858-010-9461-5
    17 sg:pub.10.1007/s10858-012-9674-x
    18 sg:pub.10.1023/a:1008375029746
    19 sg:pub.10.1023/a:1011234126930
    20 sg:pub.10.1023/a:1012982830367
    21 sg:pub.10.1023/b:jnmr.0000015406.66725.30
    22 sg:pub.10.1038/nchembio.238
    23 sg:pub.10.1038/nmeth900
    24 sg:pub.10.1038/nprot.2013.083
    25 sg:pub.10.1038/nri1808
    26 sg:pub.10.1038/nsb1095-865
    27 sg:pub.10.1038/nsmb.1395
    28 sg:pub.10.1038/nsmb.2310
    29 https://app.dimensions.ai/details/publication/pub.1082427268
    30 https://doi.org/10.1002/anie.201100370
    31 https://doi.org/10.1002/anie.201100440
    32 https://doi.org/10.1002/anie.201210005
    33 https://doi.org/10.1002/bip.20761
    34 https://doi.org/10.1002/cbic.201300139
    35 https://doi.org/10.1002/cphc.201300277
    36 https://doi.org/10.1002/pro.5560021202
    37 https://doi.org/10.1016/j.jmr.2003.12.002
    38 https://doi.org/10.1016/j.jmr.2005.02.009
    39 https://doi.org/10.1016/j.jmr.2012.01.008
    40 https://doi.org/10.1016/j.jmr.2012.08.001
    41 https://doi.org/10.1016/j.jmr.2013.08.010
    42 https://doi.org/10.1016/j.pnmrs.2011.02.002
    43 https://doi.org/10.1016/j.ymeth.2004.03.014
    44 https://doi.org/10.1016/s0076-6879(02)38219-3
    45 https://doi.org/10.1016/s0079-6565(01)00032-2
    46 https://doi.org/10.1016/s0079-6565(03)00022-0
    47 https://doi.org/10.1021/bi00161a019
    48 https://doi.org/10.1021/cr030403s
    49 https://doi.org/10.1021/ja044032o
    50 https://doi.org/10.1021/ja047241h
    51 https://doi.org/10.1021/ja051306e
    52 https://doi.org/10.1021/ja054656+
    53 https://doi.org/10.1021/ja0564158
    54 https://doi.org/10.1021/ja066915g
    55 https://doi.org/10.1021/ja077282o
    56 https://doi.org/10.1021/ja106764y
    57 https://doi.org/10.1021/ja209004q
    58 https://doi.org/10.1021/ja301895f
    59 https://doi.org/10.1021/ja302598j
    60 https://doi.org/10.1021/ja307445y
    61 https://doi.org/10.1021/ja310214g
    62 https://doi.org/10.1021/ja406682e
    63 https://doi.org/10.1021/ja902012x
    64 https://doi.org/10.1021/ja907717b
    65 https://doi.org/10.1021/jm020866a
    66 https://doi.org/10.1021/jp2081116
    67 https://doi.org/10.1021/jp3005794
    68 https://doi.org/10.1039/c2cp40174f
    69 https://doi.org/10.1073/pnas.0504818102
    70 https://doi.org/10.1073/pnas.1218173110
    71 https://doi.org/10.1093/protein/gzm081
    72 https://doi.org/10.1126/science.274.5290.1161
    73 https://doi.org/10.1371/journal.pone.0062947
    74 schema:datePublished 2014-02
    75 schema:datePublishedReg 2014-02-01
    76 schema:description Time-resolved experiments demand high resolution both in spectral dimensions and in time of the studied kinetic process. The latter requirement traditionally prohibits applications of the multidimensional experiments, which, although capable of providing invaluable information about structure and dynamics and almost unlimited spectral resolution, require too lengthy data collection. Our work shows that the problem has a solution in using modern methods of NMR data collection and signal processing. A continuous fast pulsing three-dimensional experiment is acquired using non-uniform sampling during full time of the studied reaction. High sensitivity and time-resolution of a few minutes is achieved by simultaneous processing of the full data set with the multi-dimensional decomposition. The method is verified and illustrated in realistic simulations and by measuring deuterium exchange rates of amide protons in ubiquitin. We applied the method for characterizing kinetics of in vitro phosphorylation of two tyrosine residues in an intrinsically disordered cytosolic domain of the B cell receptor protein CD79b. Signals of many residues including tyrosines in both phosphorylated and unmodified forms of CD79b are found in a heavily crowded region of 2D ¹H-¹⁵N correlation spectrum and the significantly enhanced spectral resolution provided by the 3D time-resolved approach was essential for the quantitative site-specific analysis.
    77 schema:genre research_article
    78 schema:inLanguage en
    79 schema:isAccessibleForFree true
    80 schema:isPartOf N5612348499a44bccb57722cfac6ee702
    81 Nd80347d6492145b6809e862bd0da9221
    82 sg:journal.1101518
    83 schema:name Time-resolved multidimensional NMR with non-uniform sampling
    84 schema:pagination 129-139
    85 schema:productId N12ca2eaddb8244aca4ddedfe91cb58da
    86 N36fdc5dbc19c4a54b756a6d30b9071df
    87 N5587c462f2d44540a6b99744feeedcf6
    88 Nd76cb4dfb13344aba83c97d1106dd288
    89 Nf55e46f7764c48469ac10c3ccab74f7b
    90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040305368
    91 https://doi.org/10.1007/s10858-013-9811-1
    92 schema:sdDatePublished 2019-04-11T13:11
    93 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    94 schema:sdPublisher N3318f673f36e4620ab2232bcf0ea55d8
    95 schema:url http://link.springer.com/10.1007/s10858-013-9811-1
    96 sgo:license sg:explorer/license/
    97 sgo:sdDataset articles
    98 rdf:type schema:ScholarlyArticle
    99 N12ca2eaddb8244aca4ddedfe91cb58da schema:name doi
    100 schema:value 10.1007/s10858-013-9811-1
    101 rdf:type schema:PropertyValue
    102 N250fd82f784a4e0187f78ac5922571f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    103 schema:name Carbon Isotopes
    104 rdf:type schema:DefinedTerm
    105 N291397954b444902843c92922abbae14 rdf:first sg:person.01201033237.09
    106 rdf:rest N97f4eb6041184b02a1b795a9d3e2ea53
    107 N3318f673f36e4620ab2232bcf0ea55d8 schema:name Springer Nature - SN SciGraph project
    108 rdf:type schema:Organization
    109 N36fdc5dbc19c4a54b756a6d30b9071df schema:name dimensions_id
    110 schema:value pub.1040305368
    111 rdf:type schema:PropertyValue
    112 N4210319b33144d8dbba3d12df6c41e0f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    113 schema:name Proteins
    114 rdf:type schema:DefinedTerm
    115 N5587c462f2d44540a6b99744feeedcf6 schema:name nlm_unique_id
    116 schema:value 9110829
    117 rdf:type schema:PropertyValue
    118 N5612348499a44bccb57722cfac6ee702 schema:issueNumber 2
    119 rdf:type schema:PublicationIssue
    120 N5683b248391141e0a0bb55d0c34c78c1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    121 schema:name Phosphorylation
    122 rdf:type schema:DefinedTerm
    123 N7a39408eee784233b71c0ecb7dc026aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Nuclear Magnetic Resonance, Biomolecular
    125 rdf:type schema:DefinedTerm
    126 N7ae0dc39b7174fd4a989f0cf5ccfef6a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    127 schema:name CD79 Antigens
    128 rdf:type schema:DefinedTerm
    129 N835bc5e082a240d2a643e9e93f13a56d rdf:first sg:person.01016471437.77
    130 rdf:rest N291397954b444902843c92922abbae14
    131 N88f9681b162d494cb5a995306fd53af0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Humans
    133 rdf:type schema:DefinedTerm
    134 N89bac88c33ef4c01944ac882bf2bf6b6 rdf:first sg:person.01342134726.76
    135 rdf:rest rdf:nil
    136 N97f4eb6041184b02a1b795a9d3e2ea53 rdf:first sg:person.01105222312.12
    137 rdf:rest N89bac88c33ef4c01944ac882bf2bf6b6
    138 N9853cd609b06450eb68e2758113e7015 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Nitrogen Isotopes
    140 rdf:type schema:DefinedTerm
    141 Nd76cb4dfb13344aba83c97d1106dd288 schema:name pubmed_id
    142 schema:value 24435565
    143 rdf:type schema:PropertyValue
    144 Nd80347d6492145b6809e862bd0da9221 schema:volumeNumber 58
    145 rdf:type schema:PublicationVolume
    146 Nf55e46f7764c48469ac10c3ccab74f7b schema:name readcube_id
    147 schema:value bfff571a7ee193c00736037839e0ecc2b82f9cb0e6f6a074915af4c8b2a1f43d
    148 rdf:type schema:PropertyValue
    149 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    150 schema:name Information and Computing Sciences
    151 rdf:type schema:DefinedTerm
    152 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    153 schema:name Artificial Intelligence and Image Processing
    154 rdf:type schema:DefinedTerm
    155 sg:journal.1101518 schema:issn 0925-2738
    156 1573-5001
    157 schema:name Journal of Biomolecular NMR
    158 rdf:type schema:Periodical
    159 sg:person.01016471437.77 schema:affiliation https://www.grid.ac/institutes/grid.8761.8
    160 schema:familyName Mayzel
    161 schema:givenName Maxim
    162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016471437.77
    163 rdf:type schema:Person
    164 sg:person.01105222312.12 schema:affiliation https://www.grid.ac/institutes/grid.8761.8
    165 schema:familyName Isaksson
    166 schema:givenName Linnéa
    167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105222312.12
    168 rdf:type schema:Person
    169 sg:person.01201033237.09 schema:affiliation https://www.grid.ac/institutes/grid.8761.8
    170 schema:familyName Rosenlöw
    171 schema:givenName Joakim
    172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201033237.09
    173 rdf:type schema:Person
    174 sg:person.01342134726.76 schema:affiliation https://www.grid.ac/institutes/grid.8761.8
    175 schema:familyName Orekhov
    176 schema:givenName Vladislav Y.
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342134726.76
    178 rdf:type schema:Person
    179 sg:pub.10.1007/128_2011_187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050639050
    180 https://doi.org/10.1007/128_2011_187
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1007/bf00197809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001469691
    183 https://doi.org/10.1007/bf00197809
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1007/s10858-005-1363-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007786591
    186 https://doi.org/10.1007/s10858-005-1363-6
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1007/s10858-008-9284-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033614224
    189 https://doi.org/10.1007/s10858-008-9284-9
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1007/s10858-010-9458-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021296203
    192 https://doi.org/10.1007/s10858-010-9458-0
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1007/s10858-010-9461-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014034223
    195 https://doi.org/10.1007/s10858-010-9461-5
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1007/s10858-012-9674-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003962282
    198 https://doi.org/10.1007/s10858-012-9674-x
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1023/a:1008375029746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018945939
    201 https://doi.org/10.1023/a:1008375029746
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1023/a:1011234126930 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039986240
    204 https://doi.org/10.1023/a:1011234126930
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1023/a:1012982830367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014595474
    207 https://doi.org/10.1023/a:1012982830367
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1023/b:jnmr.0000015406.66725.30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052050673
    210 https://doi.org/10.1023/b:jnmr.0000015406.66725.30
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1038/nchembio.238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022049554
    213 https://doi.org/10.1038/nchembio.238
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1038/nmeth900 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042043764
    216 https://doi.org/10.1038/nmeth900
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1038/nprot.2013.083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053253357
    219 https://doi.org/10.1038/nprot.2013.083
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1038/nri1808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032859955
    222 https://doi.org/10.1038/nri1808
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1038/nsb1095-865 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025982078
    225 https://doi.org/10.1038/nsb1095-865
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1038/nsmb.1395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029995688
    228 https://doi.org/10.1038/nsmb.1395
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1038/nsmb.2310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037479810
    231 https://doi.org/10.1038/nsmb.2310
    232 rdf:type schema:CreativeWork
    233 https://app.dimensions.ai/details/publication/pub.1082427268 schema:CreativeWork
    234 https://doi.org/10.1002/anie.201100370 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000528598
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1002/anie.201100440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045326434
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1002/anie.201210005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008329008
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1002/bip.20761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004120819
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1002/cbic.201300139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006199635
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1002/cphc.201300277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041105476
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1002/pro.5560021202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013929740
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1016/j.jmr.2003.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012894075
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1016/j.jmr.2005.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032207018
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1016/j.jmr.2012.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013273599
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1016/j.jmr.2012.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026505789
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1016/j.jmr.2013.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007451787
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1016/j.pnmrs.2011.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043610189
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1016/j.ymeth.2004.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034280048
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1016/s0076-6879(02)38219-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048588612
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1016/s0079-6565(01)00032-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028673192
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1016/s0079-6565(03)00022-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009031531
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1021/bi00161a019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055163230
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1021/cr030403s schema:sameAs https://app.dimensions.ai/details/publication/pub.1047248593
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1021/ja044032o schema:sameAs https://app.dimensions.ai/details/publication/pub.1055836105
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1021/ja047241h schema:sameAs https://app.dimensions.ai/details/publication/pub.1048771833
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1021/ja051306e schema:sameAs https://app.dimensions.ai/details/publication/pub.1044247196
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1021/ja054656+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1044235988
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1021/ja0564158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055840450
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1021/ja066915g schema:sameAs https://app.dimensions.ai/details/publication/pub.1055843502
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1021/ja077282o schema:sameAs https://app.dimensions.ai/details/publication/pub.1055846415
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1021/ja106764y schema:sameAs https://app.dimensions.ai/details/publication/pub.1055848287
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1021/ja209004q schema:sameAs https://app.dimensions.ai/details/publication/pub.1055851206
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1021/ja301895f schema:sameAs https://app.dimensions.ai/details/publication/pub.1003626440
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1021/ja302598j schema:sameAs https://app.dimensions.ai/details/publication/pub.1011173026
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1021/ja307445y schema:sameAs https://app.dimensions.ai/details/publication/pub.1055853189
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1021/ja310214g schema:sameAs https://app.dimensions.ai/details/publication/pub.1055853643
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1021/ja406682e schema:sameAs https://app.dimensions.ai/details/publication/pub.1055855092
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1021/ja902012x schema:sameAs https://app.dimensions.ai/details/publication/pub.1055861030
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1021/ja907717b schema:sameAs https://app.dimensions.ai/details/publication/pub.1055862542
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1021/jm020866a schema:sameAs https://app.dimensions.ai/details/publication/pub.1055947632
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1021/jp2081116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056085540
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1021/jp3005794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056087850
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1039/c2cp40174f schema:sameAs https://app.dimensions.ai/details/publication/pub.1004182129
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1073/pnas.0504818102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022152168
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1073/pnas.1218173110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040996597
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.1093/protein/gzm081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015130681
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.1126/science.274.5290.1161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554834
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.1371/journal.pone.0062947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033307695
    321 rdf:type schema:CreativeWork
    322 https://www.grid.ac/institutes/grid.8761.8 schema:alternateName University of Gothenburg
    323 schema:name The Swedish NMR Centre, University of Gothenburg, Box 465, 40530, Göteborg, Sweden
    324 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...